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Kresl2000  Krider1997r Krugman1991q Krugman1995 Laffont1988g Lam1992 Lambin1994 Lambin199778 Lambin20010 Lammeren20010[ Landis1994\ Landis1995] Landis1998^ Landis1998@ Lane19979 Lansing1993" Lansing1993# Lansing19931 Law2001 LeBaron2001H Lee1989 Lee1992C Leemans1995 Leggett2000 Levi19979 Levin1992J Lezberg1999 Li1997 Li2000Liebrand1988  Ligtenberg2001a Ligtenberg2002 Lim2001| Linn2001 Longley1994 Ludeke1990\ Luz2000K Lynam2002 Lynam2003  Macy1998 Maggio1990b Maltby20022% Mann1996V Mann1998 Manson2000E Manson2001H Manson2001 Manson2002 Manson2002 Manson2003Manson Forthcoming Marimon1990 Marks1992j Marks1994 Marsh1995 Martin19944 Mathian1997* McCarroll2000V McCord1998A McCracken2001j McGarigal1994 McGratten1990gMcIntyre2000_ Medugno2002C Menz20010Meretsky2001Meretsky Forthcoming Mertens1997k Millan2001 Miller19911 Miller1992 Miller19939 Miller19959u Miller1996 Miller19977 Miller1998n Miyao1987 Moran2001` Motloch2001NMoutinho1996 Munroe2001 Naiman19929h Nelson2001N Nepstad1996 Nordin19988Q Norvig19955 Nowak1988 Nyarko1994 O'Neill1991T O'Neill1993L O'Neill1994U O'Neill1994e O'Neill1995 O'Sullivan2001N O'Sullivan2001o Oates1988LOfferman1994Ogneva-Himmelberger1998Ogneva-Himmelberger1998P Omer199712Openshaw1977Openshaw1994Openshaw19953 Ord1973> Oreskes19946 Ostrom1998 Ostrom2000EOstrom Forthcoming Otter2001 Page19979 Page1997 Page19989p Page1999 Page2001K Page2002` Page20022 Page20020 Page20033_ Pahl-Wostl2002l Parker1999m Parker2000 Parker2001H Parker2001 Parker2002 Parker2002 Parker2003Parker Forthcoming* Parket20000L Pearson1994M Pearson1999T Pedlowski1993U Pedlowski1994V Phelan1999Phillips1997 Phipps1989 Pijanowski20020 Plantinga19991 Polhill2001 Pontius1995 Pontius2000j Pontius2001P Portugali1997 Pritchard1998 Proton19989 Pumain19977 Qi19959g Quattrochi19925 Rabin1998 Rajan2000 Rand2002 Ray1999 Reid19909)Requier-Desjardins2001 Rescher1998Reynolds1997 Riley1997  Riolo1997 Riolo2002e Ritters1995Robinson1994)Rouchier2001 Roy Chowdury1998eQ Russell1995 Ruxton1998 Sanchirico1999 Sanders1997C Sanderson1995 Sanderson1998 Saravia1998 Sargent1990 Sasaki2003k Saura2001 Schelling1969 Schelling1971v Schelling1978Schlager2002j Schneider2001LSchot Forthcomingn Schuft19979 Schumaker1992tSchwartz1991r Schweik2002m Scott1999S Selten20012U Selten2001 Shibasaki2000 Shortliffe1984>Shrader-Frechette1994 Shubik1992s Silberberg1990N Silva1996 Silvertown1992 Simon1997 Sklar1986 Sklar1989 Sklar1991C Skole1995 Skvoretz1998 Smith1997 Sole20000 Sonnenschein1998 Southworth1991T Southworth1993U Southworth1994a Southworth1995 Southworth2001^ Steins1999+ Sun1999*Swedlund2000$ Taber1999Takeyama1997| Tay2001 Taylor19988 Terna1997 Tesfatsion2001= Tesfatsion2002Z Thrift1999 Tian1995e Timmins1995 Tobler1979R Todd1999r Torrens20010 Torrens2001A Torrens2001- Torrens2002 Trame1997K Trani1999f Trani1999 Troitzsch1999 Tucker20012 Turner1989 Turner1992C Turner1995O Turner19977 Turner19989M Turner19999 Tversky1990N Uhl1996 Unjee1995 van der Veen2001Veldkamp19968Veldkamp2001LVelkamp ForthcomingLVerburg ForthcomingN Vieira19969 Viola1990p Viola1990{ Vriend2001 Vriend2001na Wachowicz2002b Waddell1998: Waddell2000d Wainger1997 Waldrop1992 Wang2001VWashington-Allen1998 Wear1992i Webster1999 Weibull1995Weinberg1993 Weinberg1997[ Weiner2002 Weiss1999] Wellard1997! West20000 Westervelt1997 Westervelt1997c White1993 White1994 White1995/ White1997 White2000e Wickham1995g Wiens2000 Wigan2001 Wilen1993 Wilen1999Williams1999! Wilshusen2000Woodford1994T Wooldridge1999. Wu1998i Wu1999P Xie1994Q Xie1994R Xie1994+ Xie1999e Yankee19955Yannelis1994} Yeh2001Zambrano1997  Zeigler1976D Zeigler1990 Zellner2002] Zhang1998^ Zhang1998 Zhang2001:Ziemelis2001is200120012001g2001:Ziemelis2001Zhang2001:Ziemelis2001g2001:Ziemelis2001g2001:Ziemelis2001:Ziemelis200120012001:Ziemelis2001200120012001:Ziemelis2001:Ziemelis2001Zhang2001:Ziemelis2001:Ziemelis2001:Ziemelis2001Ziemelis2001:Ziemelis20012001:Ziemelis2001:Ziemelis20012001:Ziemelis2001:Ziemelis2001Ziemelis2001Ziemelis2001:Ziemelis200101:Ziemelis2001:Ziemelis2001:Ziemelis2001:Ziemelis2001Ziemelis2001Ziemelis200101:Ziemelis2001:Ziemelis2001:Ziemelis2001g2001:Ziemelis200101:Ziemelis2001Ziemelis2001:Ziemelis2001 Sonnenschein1998 Southworth1991T Southworth1993U Southworth1994a Southworth1995 Southworth2001 Southworth in reviewTakeyama1997| Tay2001 Taylor19988 Terna1997 Tesfatsion2001̷ Tian1995e Timmins1995 Tobler1979 Torrens2001 Trame1997K Trani1999 Troitzsch1999 Tucker20012Tucker in review Turner1989 Turner1992O Turner19977 Turner19989M Turner19999 Tversky1990N Uhl1996 Unjee1995Veldkamp1996N Vieira19969 Viola1990{ Vriend2001b Waddell1998: Waddell2000d Wainger1997 Waldrop1992VWashington-Allen1998 Wear1992i Webster1999 Weibull1995 Weiss1999 Westervelt1997̓ Westervelt1997c White1993 White1994 White1995 White2000e Wickham1995g Wiens2000 Wigan2001 Wilen1999Williams1999Woodford1994i Wu1999P Xie1994Q Xie1994R Xie1994e Yankee19955Yannelis1994} Yeh2001Zambrano1997  Zeigler1976] Zhang1998^ Zhang199898^ Zhang1998e? d2y c;D Authors|eJournals cKeywords                               /u, `lPK, editor, Increasing Returns and Path dependence in the Economy, chapter 8,Agarwal, Chetan,&Agency), EPA (Environmental Protection$ Agency, Environmental Protection Ahn, T. K.Alberti, Marina Alcamo, J. Alexandridis, Konstantinos T. Allen, Liz Alonso, D. Alonso, W.Anderson, Philip W.Andreoni, JamesAndreoni, James A.Angeline, Peter Angelsen, A. Anselin, Luc Antona, M.Antona, Martine Arifovic, J.Arifovic, JasminaArrow, Kenneth J. Arthur, B. W.XRArthur, B. W. 1994. Path dependence, self-reinforcement, and human learning. In W. Arthur, B.W. Arthur, Brian Arthur, W. B.Arthur, W. Brian Arthur, W.B.Arthur, W.BrianArthur, W.~BrianAsakawa, TasiaAttonaty, J.M. Auber, S.Auyang, Sunny Y.Axelrod, R. M. Axtell, R.L.Axtell, RobertAxtell, Robert L.Axtell, Robert~L. Aycrigg, J. B.Mombeshora B.~Edmonds Baas, Nils A. Babin, D. Bakam, I. Baker, W. L. Baland, J.M. Balling, R.J. Balmann, A Balmann, A. Balzter, H.Banzhaf, Wolfgang Bardhan, P.Barreteau, F. O. Barreteau, O. Batty, M.Batty, MichaelBaumol, William J.Baumol, William~J.Beckenbach, FrankBelitz, KennethBell, Kathleen Bell, Simon Benenson, I.Bennett, R. J.Benwell, GeorgeBerger, ThomasBerry, Brian J. L.Beulens, Adrie Bian, LingBierregaard, R.O.Bissonette, J.A. Bledsoe, C.Blume, Lawrence E.Bockstael, NancyBockstael, Nancy E. Bohn, Henning Boissau, S.Bommel, Pierre Bond, A. H.$Bonin, John P. Bonin and Helene Bousquet, F.Bousquet, Francois Bower, John Bowles, S. Box, PaulBrander, James A. Braun, P. W. Bregt, A.K.Bregt, Arnold K.Brenner, ThomasBriassoulis, Helen Brondizio, E. Brown, D. G. Brown, M. Buchanan, B.Buchroithner, M. F. Bull, D.S.Bunn, Derek W. Bura, S.Burke, Ingrid C.Burke, Ingrid~C. Burrows, P. C.~Uhl Carlton, Gary Carr, Eric Case, Anne  Hc AEA Papers and ProceedingsAgricultural EconomicsAgricultural Systems Agriculture and Human Values,'Agriculture, Ecosystems and Environment,(Agriculture, Ecosystems, and EnvironmentAmerican AnthropologistAmerican Economic Review40American Economic Review, Papers and Proceedings0*American Journal of Agricultural Economics$!American Political Science Review American Sociological Review41Annals of the Association of American GeographersApplied Geography(#Applied Mathematics and ComputationArtificial Intelligence4.ASCE Journal of Urban Planning and Development,)Bulletin of Ecological Society of America ComplexityComputational EconomicsComputers and Geosciences,(Computers, Environment and Urban Systems,)Computers, Environment, and Urban SystemsConservation BiologyConservation Ecology CybergeoCybernetics and SystemsEcological ApplicationswEcological EconomicsEcological Modelling Ecology EconometricaEconomic JournalEconomic Theory Economica EcosystemsEnergy Journal Environment and Planning A Environment and Planning B4/Environment and Planning B: Planning and Design] Environmental and Planning AEnvironmental Managementw,'Environmental Monitoring and Assessment,)European Review of Agricultural Economics Forest Ecology and Management Games and Economic Behavior GeoforumGeographical AnalysisGeographical Systems GeoJournal4/IEEE Transactions on Evolutionary Computation 3Integrated Assessment<7International Journal of Geographic Information Systems<9International Journal of Geographical Information Science<9International Journal of Geographical Information Systems,'International Journal of Remote Sensing($International Social Science Journal85Journal of Artificial Societies and Social SimulationJournal of BiogeographyJournal of Ecology0-Journal of Economic Behavior and Organization,(Journal of Economic Dynamics and Control Journal of Economic Geography$Journal of Economic Literature Journal of Economic Theory41Journal of Environmental Economics and Management(#Journal of Environmental Management$!Journal of Evolutionary Economics Journal of Geographic Systems$!Journal of Mathematical Sociology0-Journal of the American Institute of Planners0,Journal of the American Planning Association$Journal of Theoretical Biology Journal of urban economics$Journal of Wildlife Managementjw Landscape and Urban PlanningLandscape Ecology,(Lecture Notes in Artificial IntelligenceManagement Science Nature4.Photogrammetric Engineering and Remote Sensing] Physica4/Proceedings of the National Academy of SciencesProfessional GeographerQuantitative Finance($Regional science and urban economics SciencePJScientific Journal of the University of Architecture and Civil Engineering(%Systemic Practice and Action Research The American Economic Review,&The Bulletin of the Santa Fe InstituteThe Economic Journal$The World Bank Economic Review Theory, Culture and Society84Transactions of the Institute of British Geographers$Trends in Ecology and Evolution WetlandsPJWissenschaftliche Zeitschrift der Hocheschule fur Architektur und Bauwesen World Bank Economic Reviewey222 c 22 ; ; D2;y ;;; Dy;D? ?22e2y ;; ????yD eeeee?? dd22222yyy ccc;;;;;DDDDDDDD ?d2ycD ce;DD?d2:D .T/cXbi0bL8 Veldkamp, A. Fresco, L. O. 1996RLCLUE: A conceptual model to study the conversion of land use and its effectsEcological Modelling85 2/3253-270 Veldkamp, A. Lambin, E. F. 2001 Predicting land-use change.(Agriculture, Ecosystems, and Environment85 1-3i 1-6t2+Verburg, P. H. P. Schot M. Dijst A. Velkamp ForthcomingJC Land-Use Change Modeling: Current Practice and Research Prioritiesn GeoJournal Paul Waddell 1998@:UrbanSim: The Oregon prototype metropolitan land use modelXRASCE Conference on Land Use, Transportation and Air Quality: Making the Connection Portland, Oregon ASCE 1998Waddell\Waldrop, M. Mitchell 1992F@Complexity: The Emerging Science at the Edge of Order and Chaos  New York, NY Simon and Schuster 380 waldrop92}Complex systems"Wang, Yeqiao Zhang, Xinsheng 2001ZSA dynamic modeling approach to simulating socioeconomic effects on landscape changeoEcological Modelling 140C141-162  wang01("Urban growth, landscape simulationB7Cellular dynamics and GIS: Modelling spatial complexityGeographical Systems1+3237-253mWhite, R. G. Engelen 1997NGCellular automata as the basis of integrated dynamic regional modellingo Environment and Planning B24235-246White, R. Engelen, G. 2000\UHigh-resolution integrated modeling of spatial dynamics of urban and regional systemsy0)Computers, Environment, and Urban Systemse24383-400 Wooldridge, M 1999Intelligent Agents G. 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P. 1976("Theory of Modelling and Simulation New York WileyF@Couclelis 1986 article, modeling, simulation, theory of modelingMissing Zeigler, B.P. 1990nhObject Oriented Simulation with Hierarchical, Modular Models: Intelligent Agents and Endomorphic Systems  San Diegor Academic Press Ziemelis, Karl Allen, Liz 2001& Nature insight: Complex Systems Nature 410m 241v 8 March 2001 | Adaptationsteagent-based modeling,'Agent-based modeling, political economy85agent-based modeling, spatial competition, complexity84ANN, GA, Classifier systems, coevolution, complexityBehavioral economicsBounded rationalityComplex systemsD>complexity, agent-based models, AAA, Orals_lucc, agents, cipecD@Couclelis 1986 article, modeling, simulation, theory of modeling,'Dynamic resource models, sustainability ecology<8ecology, complexity, fractal, diss, scale, SOC, complex283GA, genetic algorithm, land use planning, diss, gemgeo-spatial relationsPKglobal climate change, human dimensions, , models, 971104, DESM, Orals_lucc heuristicsd mhuman behaviorlat land use/cover transformation lc_abmLUCC, ADSS, lc_abm@;lucc, deforestation, ecological indicators, cipecabmluccartlucc, model, lucc_list(#LUCC, modeling methodology,lc_intro Model ValidationyD?pattern, edge, validation, fractal, fragmentation indices, diss public goods, externalitiesZSensitivity Analysis4/spatial econometrics, spatial interdependencies("Urban growth, landscape simulation|ModelsiiiiiiiQiwiiDi[iiiaiiiii<i>iBiDiKi_idiliiiiiJiniiiiirrrrrniQiTiB ification| y,yingjDularjaveKmbeshoramneyiziMicaattoring% r r rtereyran eegg5gggan t tttonttonttontontton Community[ p panyr|rableed|i)isons s~ setition v  vd v  vy v v~ vel lFlementsx@ii:i@iJiiiiiii2222ity u uE u u; uA uV uZ ud u u u> u< uJ un uo u u u u u u u  u o@ @ o@ o@ o@ o@ o@ o \LuzKynamM>MXAKAAAAAAAAAAAAAAAMA)A+A1A$AAOALA*A=ACAA AAANA0A-A?AAEAAAHAIALATAXA^AcAdAmA[A[A[A[A[AGAGA}A}A}A}A}A9Vc" ?"zFe0?,~E 6·d, o݌ 8Tn*B Q?]EV8Gه X6RJ@^d-F7ߖ]}6ѓ@sȼu)i@́G$f%4Xx3 Xcal curio or policy dilemma?81Journal of Environmental Economics and Managementr13101-128? 1986burrows? Case, Anne 1991*$Spatial patterns in household demand Econometrica594e953-965  July6/spatial econometrics, spatial interdependenciesd Case, Anne 19926/Neighborhood influence and technological changed*$Regional science and urban economics22491-508\6/spatial econometrics, spatial interdependenciesJunenrr risdictions sKKaa a,a3a$aVaaeaaa]aaafamaa ao a a a a a a a a0 aahnemanimowitztmienttnnnemotonpppa:rll7thleenfJuffman e eellermannyn>nethrFr rrridgeshetshetshetshetshetshetshetshetshetshetshetshetshetshetaVaaaeaaa]aaafamara ao a a a a a a a ar a0 aahnemanimowitztmienttnnnemotonpppa:rll7thleenfJuffman e eellermannr yyn>nethrFr rrridgeshethFandIpJpOpPpRpVpZp\p^pphpjpkplpnp8pNpppppppppppt pF p! pC p p p p pC p[ p ppppeeeye~e}ezeee{eee5e|eefeenecee ersonreoniggelinessenlJn eeBalseeaaaaaaNpt pF p! pC p p p p pC p[ p ppppeeeye~e}ezeee{eee5e|eefenece ersonreoniggelinessenJn eeBalsea individual s onesiaucedttives s| s strialiellectiaeEqualityfluence sQOrmationC s[ sP s s gQ g a ae a a| a allysIgridiitial~ted pputsPsidetQt:ghttitute  i2 i  i? 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Oates bando2 1988 1988 Cambridge University Press0*Landscape: Pattern, Perception and Process Simon Bell Bell 1999 1999 New York  RoutledgeSciencess6s>sMses s@sFs!s>sctgt;t=ttptificsttpottMeeLeeee|emS_ S` eb ea e}earchzcc]condr^a|aarily}ret|urity gregation iyignorageiQlectingon  f f5 ff,lllPl{lersmStenUmU m%minnInegalseCdingrrTrCttktltCtttivitypk p p piptemberw rm qquentialq2riesvvvv}vvicej t ttsstingeUlement! v~ v7venthrraleeeeeeeeeventhr|relyF|FASMHInpNttt-ttlt t ttCtddddyc~c}czccc{cccc5c|ccfcc@ccDcFc!cccCC CEDEnn`ntive s s lluderorporate ingreasesging} dependentlygxhifiiianaccH ccccates}sorsdesdfvvidualvidualvidualvidualvidualvidualvidualvidualvidualczccc{cccc5c|ccfc@ccDcFc!cccC CEDEin`ntive s s lluderreasesing} dependentlygxhifiiianacH ccates}sorsdesdfvvidualmand5pepv|0-c7;;>@BCDFHIJKLMPVWX\]`deg[NyGGGGGGGGGGGGGGv|0-ck7;;>@BCDFHIJKLMPVWX\]`deg[NGstuvwz|}~Gyer SoCietiesF y* y! yI yY y y yWyoZooeconomic logicalyPspacialleutionsversingm0meutt$tztt|tttimes nnenscheinrtcingurcestheernMwww!west!TorthTU pa p p pa ppacettiiingnPtialetialetialetialetialetialetiales yWyoZooeconomic logicalyPspacialleutionsversingm0meut$tztt|ttimes nnenscheinrtcingurcestheernMwww!westoTorthU p pa p p pa ppacettiingnPtiale|GenerallNisedlyd t tted}d[ion] s^ sy s>vei.icctico$ooo}oo$oyoC vay}otypeoc0 computationEforumCgChhegand r7 r rgrapher2 sB iX i iicIh I[ IP IQ I a a a2 aly y y y y  y ye yqyr r r rX r r r; mLJournalmetryr%rge! sJ s%sciencess rmany tC ttbibi_ hentn` ib ia iibsonRgerenzerS lU llberteYebeY eKesrfrruthmmbletto n nntisSPSPSsPSPSPSPSPSPSPSPSPSPSPSbletto nntisSPSBrander98unlTziliiiUianeedinge gtean nneriannn@nnn;n nnMssoulisM nngt2tishdXooaderstindizioi= okings$wnuuceyan uchananC roithnerilder's2ing_ssslleWetinn?n~nnrrawIke lingtonrowssss98unlzilTiiiwiiUianeedinge gteann nneriiannn@nnn;n nnMssoulisM nngt2tishdXoondizio o= okingswx w$wnuuce uchananC roithnerilder's2ing_s{ssslleWetinn?n~nnrrawIkewrowsssn ! populationsyrtfolioj landb sPugalisitivesesstti%i$ifi ibilitiesleltulating~tential w"wer~rracticalLes-sVsssssedictingo o8 o%ons7 sA s s| sz svefference5 sQ ntice paration~sence~t{eationyed sssZ s u u u u u u u u uo u uO u* u= u u u uF u! u uq ur u" u uN u u u u@ uD uR eS eT eU eW eY ed e eAe}ure$ttyviouslye{ices{s{s{s{s{s{s{s{s{s{s{s{s{s{s{s? 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D:?߷:KHa666666666666V6U6L666 666!66u6e6666B6L6f666 6 6 6 6664iabinttatflMlllQ n{n|ndlinginknonppe{nedwrdwHwoode_efgisf98doldperw[risn woodsvvvfvven~n|nfn nC DPoCededonicg_ebegselmanng l l lc llenMe eixn}nce}gningrrbertoeeeeeeeeeeeeee gselmannrlix}nce}grbertoColdC01hm terogeneity:6TheorysFrVrXrYrrrrrZrrrr rrr!ressffforesse}yzy{yyfyyyyi{ii5i|iiifingsssooyo~o}ozoo{oooo5o|ooomaswpvppp pBpsonssehu}ughreeZift+ough*h*h*h*h*h*h*hr!ressffforesse}yzy{yyfyyyi{ii5i|iiisoooyo~o}ozoo{oooo5o|ooomaswpvpGp pBpsonssehu}ughreeZift+ough*h8Jamessn#nnn!nn;nessenpEpHppp p p p p panysminaMonIssneeanffreynniferioaquinhchen_hannes<ngsssss~szsssss[s\s]s^sus`sss<sosX s` s ssonintenes>shua=u?uPurnalBLBLBLBLBLBLBLBLBLBLBLBLnneanffreynniferoaquinhchen~hnzs<s[s\s]s^sgsus`sssssssssssX s` ssonenes?shua>u=uyurnalPLQL~L}LzKBu{u\uy?2DDcc2cD c2dc c y;; cD  ;; ?; yyyc ?;?Ddd D? c22ecd2d ;D? ;DDee [gqrv 8!F{8*#Kirman, Alan P. Vriend, Nicolaas J.b 2001NGEvolving market structure: An ACE model of price dispersion and loyaltyJ.(Journal of Economic Dynamics and Control25 3-4459-502Cf`We present an agent-based computational economics (ACE) model of the wholesale fish market in Marseille. Two of the stylized facts of that market are high loyalty of buyers to sellers, and persistent price dispersion, although it is every day the same population of sellers and buyers that meets in the same market hall. In our ACE model, sellers decide on quantities to supply, prices to ask, and how to treat loyal customers, while buyers decide which sellers to visit, and which prices to accept. Learning takes place through reinforcement. The model explains both stylized facts price dispersion and high loyalty. In a coevolutionary process, buyers learn to become loyal as sellers learn to offer higher utility to loyal buyers, while these sellers, in turn, learn to offer higher utility to loyal buyers as they happen to realize higher gross revenues from loyal buyers. The model also explains the effect of heterogeneity of the buyers. We analyze how this leads to subtle differences in the shopping patterns of the different types of buyers, and how this is related to the behavior of the sellers in the market. Klepper, O. 1997hbMultivariate aspects of model uncertainty analysis: Tools for sensitivity analysis and calibrationEcological Modelling 101s1 1-13Timothy A. Kohler 2000.'Dynamics in Human and Primate Societies0 New York and Oxfordl Oxford University Press.(SFI studies in the science of complexity 2000kohler00RKTimothy A. Kohler James Kresl Carla Van West Eric Carr Richard H. Wilshusene 2000Be there then: A modeling approach to settlement determinants and spatial efficiency among late ancestral pueblo populations of the Mesa Verde region, U.S. Southweste ,&Kohler, Timothy A. Gumerman, George J..'Dynamics in Human and Primate Societiess New York and Oxfordl Oxford Univeristy Press0145-178a.(SFI studies in the science of complexity2+Kollman, Ken Miller, John H. Page, Scott E. 1997<5Political institutions and sorting in a Tiebout modelAmerican Economic Review875\ 977-92kolman97.'Agent-based modeling, political economyoHBThe authors construct a computational model of Tiebout competition and show that political institutions differ in their ability to sort citizens effectively. In particular, they find that certain types of institutions--those that become more 'politically unstable' as citizen heterogeneity increases--perform relatively poorly given a single jurisdiction, yet these same institutions perform relatively well when there are multiple jurisdictions. The authors provide an explanation for this phenomenon which draws upon simulated annealing, a discrete nonlinear search algorithm. Koza, John 1992XRGenetic Programming: On the Programming of Computers by Means of Natural Selection  Cambridge, MAe  MIT Press,&Krider, Robert E. Weinberg, Charles B. 1997RKSpatial competition and bounded rationality: retailing at the edge of chaosGeographical Analysis291a 16-34B<5agent-based modeling, spatial competition, complexity Paul Krugman 1991Geography and Trade  Cambridge, MAa  MIT Pressn 1991 krugman911 Paul Krugman 19952+Development, Geography, and Economic Theorye  Cambridge, MAt  MIT Presst 1995 krugman955Laffont, Jean-Jacquesn 1988 Introduction& Fundamentals of Public Economics  Cambridge, MA  MIT Press  1-4l $John P. Bonin and Helene Bonin laffont88C"public goods, externalities Lam, N. Quattrochi, D. A. 1992VPOn the issues of scale, resolution, and fractal analysis in the mapping sciencesProfessional Geographer44 88-98 Lambin, E. F. 19942+Modelling Deforestation Processes: A Reviewt  Luxemburg European CommissionXQTree Series B, Research Report No. 1 Tropical Ecosystem Environment by Satellites John Landis  1994\VThe California Urban Futures Model: A new generation of metropolitan simulation models6/Environment and Planning B: Planning and Design;214399-420C 1994Landis94n externalitiesm il i; i i iinctionremeiFaaaaaaaa)a.aaIaKa\a8apaa aO a aC al aaa}act|oeorssss}sfss{iilurellowsrmuufunaLl e b?b b b b b bl b b b b b bl b b blb|bbhbruary>ldvlsrrnandezw|HHASMiieldlesnalnAABM11nceysysyssysysysysysysysthrough;w{ww0wnen'sianeboutmmemmm}mmeminsoFothy!J! 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J4v@w3@53k@=V?@w3@=U@=V@w3@53j@=U@w3@+j@53j?½s,ӡ^N>,^N>,^N>,^N>,^N>,^N>,^N>,^N>,^N>,^N>,^N>,^N>,^N>,^N>,^N>,^N>,^N>,^N>,^N>,^N>,^N>,k M Mv?`v?||Pbc0%w@%-P-w? household wwa{a5a|aaIard~everiitt}suantmlAlMllCltItttpuuCuuuluuAuIuKuMucuuuuuuuuCuumannnnnFnnnn;nn*n*n*n*n*n*n*n*n*n*n| | +5{AA (5{D*2d kamienStuart Kauffmanl 1994piWhispers From Carnot: The Origins of Order and Principles of Adaptation in Complex Nonequilibrium Systemse ,&George Cowan David Pines David Meltzer0*Complexity: Metaphors, Models, and Reality New York Addison Wesley 83-160&Kerridge, J. Hine, J. Wigan, M.  2001f_Agent-based modelling of pedestrian movements: The questions that need to be asked and answered Environment and Planning B283n327-342 = Tesfatsionta~azizableingsxxtbtbookshantteeReeeeye~e}ezee{ee5e|eefeeftirymmmm|mfmm!n}ooreticalym yB yM y y y@iesyrrr rorrqr]rErrrO Singaporeleyt}ttfttessfxhzekkkfkklarmmmCole voretzplopes|malliRrthithooth~PoCCCiIii>ialei=iiiii ii?iYiiciiiiIiYiciiiiiizing=etiesetiesetiesetiesl Wallace E. Oates 1988("The Theory of Environmental Policy Cambridge, U.K.{ Cambridge University Press2d 1988 bando2Beckenbach, Frankt 19992+Learning by genetic algorithms in economicsu Brenner, ThomasoBCellular worlds: A framework for modeling micro-macro dynamics Environment and Planning A17585-596t Couclelis, H.p 1986VOA Theoretical Framework for Alternative Models of Spatial Decision and Behavior,81Annals of the Association of American Geographerso761 95-113 *$Craig, W.J. Harris, T.M. Weiner, D. 2002B;Community Participation and Geographic Information Systems.a London Taylor and Francis("Cromley, Robert G. Hanink, Dean M. 1999:3Coupling land-use allocation models with raster GISf$Journal of Geographic Systems\1a137-153{Crutchfield, J. P. 19942+Is Anything Ever New? Considering Emergence ("G. A. Cowan D. Pines D. E. Meltzer2+ Complexity: Metaphors, Models, and Reality  Reading, Mass Addison-Wesley515531 B;V. Dale Robert V. O'Neill Marcos Pedlowski Frank Southworth 1993HACauses and effects of land-use change in central Rondnia, Brazil4.Photogrammetric Engineering and Remote Sensing596l997-1005 1993 Dale93LEVirginia H. Dale Scott M. Pearson Holly L. Offerman Robert V. O'Neill. 1994XQRelating patterns of land-use change to faunal biodiversity in the Central AmazonpConservation Biology8?4? 1027-1036? 1994dale94bD>V. H. Dale Robert V. O'Neill Frank Southworth Marcos Pedlowski 1994XRModeling effects of land management in the Brazilian Amazon settlement of RondniaConservation Biology8o1f196-206a 1994 Dale94JDV. H. Dale A. W. King L. K. Mann R. A. Washington-Allen R. A. McCord 19986/Assessing land-use impacts on natural resourcesoEnvironmental Management222203-211  1998Dale98a}.(Models provide understanding, not belief V. H. Dale0)Bulletin of Ecological Society of AmericaDale98b79 1998 1998169-170aDawid, Herbert 1999f_Adaptive Learning by Genetic Algorithms: Analytical Results and Applications to Economic Modelsu Berlin SpringerDeadman, P. Schlager, E. 2002d^Agent-based simulations of household decision making and land use change near Altamira, Brazil Gimblett, H. RIntegrating Geographic Information Systems and Agent-Based Modeling Techniques for Understanding Social and Ecological Processes Oxford University Presst^XDean, J.S. G.J. Gumerman J.M. Epstein R.L. Axtell A.C. Swedlund M.T. Parket S. McCarroll 2000HBUnderstanding Anasazi cultural change through agent-based modeling T.A. Kohler G.J. Gumermang.'Dynamics in Human and Primate Societies5 Oxford University Presse179-206f Duffy, Johnr 2001HBLearning to speculate: Experiments with artificial and real agents.(Journal of Economic Dynamics and Control25 3-4295-319This paper employs an artificial agent-based computational approach to understanding and designing laboratory environments in which to test Kiyotaki and Wright's search model of money. The behavioral rules of the artificial agents are modeled on the basis of prior evidence from human subject experiments. Simulations of the artificial agent-based model are conducted in two new versions of the Kiyotaki-Wright environment and yield some testable predictions. These predictions are examined using data from new, human subject experiments. The results are encouraging and suggest that artificial agent-based modeling may be a useful device for both understanding and designing human subject experiments. Eastman, R. 1999(!Guide to GIS and Image Processing  Worcester, MA Clark UniversityVolume 2 B. Edmonds 20002,The use of models: Making MABS actually work S. Moss P. Davidsson"Multi Agent Based Simulation Springer-Verlagk 15-32t.(Lecture Notes in Artificial Intelligence 2000 edmonds00r`9286888}3a44 441F2B533655777 77771111047a8g9$9;7=7l7l7l7T7AAAronbilitiesyl|l}leo}leo}leo}leo}leo}leo}leo}leo}leo}leo~m~m~o~o~o~o~o~o~o~o~o~o~o~o~o#&&Nrader}ubik}ignalsrCturesslberbergNvaertownl|milar0merSonp p ppleRiiiEifyingOPOPOPOPOPOPOPOP_B˾eatët$3:7 "tCa"U1u>[ .wGfw>[ 1|HPse1 267-433e Sklar, F. H. Costanza, R.f 1991^WThe development of dynamic spatial models for landscape ecology: A review and prognosis "Tuner, M. G. Gardner, R. H.c0)Quantitative Methods in Landscape Ecology New York Springer-Verlag239-288 Ecological Studies Vol. 82Smith, G.C. Bull, D.S. 1997XRSpatial and temporal ordering of events in discrete cellular automata: An overviewEcological Modelling96 1/38305-3242 assessment t t: t t signedfociated\ion uB u u|ume|d5sption ynchronous tt uum cc}ccccc chafalayaftainedn5emptingntionIonatyuberoctions~ggusttcttthorssso3 ocorrelationmmmatavvvvvooo+o/iiiiuii-iciNiiicallyonv v v v u}cccc chafalayatentionuberctions~gcgustttthorssso ocorrelationvumatacvvvvvvvoooooo+oiicallyon v4004E56>11:01E4y782O0X0[0D338\84g5X5p1Q16c7\7K926{65677K0Q222f78f178919395K5>00Q00]0<0N0o000I00\2{2811224E56>11:01E4y782O0X0[0D338\84g5X5p1Q16c7\7K926{65677K0Q222f78f178919395K5>00Q00]0<0N0o000I00\2{28112requiredessscherearchCeLeVee e ej e eM e ee5eeceersidential; oO oolution u ug u u uwurcess]sbsmsssssV p pE p^ ppecteJonses ty trictions}sfult}anting sJso^tttyt~tztztteLeVee e ej e eM ee5eeeceersidential; oO oolution u ug u uwurcess]sbstsmssssV p pE p^ pu pJponses ty trictions}sfult}anting sJso^tttyt~tztq1995\6e6a66B6777%7=7u7N777B7=7N777G7888888888888 8,8/88@8O8d88 8888<8F8P8]88c8d8l8G88@8O8d8W8<9I999999f9.9999V999]9^9 9959b9969?9@9O9W9<9I99f9V9]9^9b9~9S9S9S9S9S9S9S9S9S9!Betcccc}czcc|ccfcc5causekenbach{omesys~enhhfhhaveiiiorafa|aBaauaaa}a{a5aall l6 l5 lz lurg5ing_ lgium` ib ia iWiefKs5ss5v}vez>tzzeSl7tSnnefitOnsonPoWnettoit%wellnwrgerll lin rc r;rysstettern weenViiiiyiaulenslian5ses bliography d~d~dinggO  erregaard~lateral~ oL odiversitye economics geographylogical yy@ttUtLtticfssonettekIlackokeedsoeedsoeedsoeedsoeedsoeedsoeJF210A11V444:5s77sCst26777%4V4O4#4:7Cste3+0d0f00+35/77V9V894h4j44,7/75P11:1^5w5/67,88h5j5O511)1.1y1w1}1z1{1]1^1|1c110d1C33444444777%4V4O4#4:7Cste3+0d00+35/779944,7/75P1:1w5/67,88O511)1.1y1w1}1z1{1]1^1|1c11d1C334andsssssssssssssssssssMss ss%s2ssQssswpp~p}pOpTppzppppppphptpnp{pFp!pp pqprp]p^p"p pppppppPo0`}business}ttyyy{yersByccccccEcjcccccCCCyC}CCCC5C|CCfCHCiaIaaaaaaaafaa,aa*aaNamAeAvA|AlAAHAKAAAAAAA At A= AN AAA A c cm cctculuslibratedg sQing o onf^ f[fornia'\ '] '^ 'm ' 'sd}ledZ mbridge n n n n n n n nJgISvvvv+vQvdvv7vvvvlvvevvvvenl5llenobalooooo|aaloXdroneodgccc childl nnesssspherusrrdontonHsselinkH 89rttfried1svEernanceyments}PrandtNphtvityyzingeaterenoN bergi]imbleonewold{ssd=undpeedvven=wingt=tt.thTTTTTjTRrjune297urinidennnea*merman* w! wdwandbWH<a<a<a<a<aH<a<a<a<a<aOctBfGPgPpPKPIPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPModeleeye~e}eziee{eee|eezedPingNsssssss+sQllUl*lll!lllcl?ll;lKlLlMlalmlllll ll lllzlllings s s s s s s s  s  s% s/ s2 s s s? sA s s s s s s s s s s s s s s sWs>niiiiiiii`SIMulated}d i| iing o o o oc o:onn n s s s s  s1 s sw s s[ s s0 s- s s< sD sH sY sa sc sp s s sD sI sY s_ s` sb sa s s s  s s~ s sO ob o oz ooraoraoraoraoraoraoraoraoraoraoraoraoraoraing o o o o| oc o:onn n s s s s  s1 s sw s s[ s s0 s- s s< sD sH sY sa sc sp st sy s s s sD sI sY s_ s` sb sa ss s{ s s  s s~ s s s oO ob ow o oz oora400681H6 6 22224H5l1l7l7760 4l7l9l998P1]9G0000~00600Y0800:0I000000G0p0000000000000001000U00 00500;0B0O0h0j080 000000e0 003%3T5111%262L7k33?6L6k557777777777777p6>2NNHh`znugjF Marks, R. E. 1992D=Breeding hybrid strategies: Optimal behavior for oligopolistso(!Journal of Evolutionary Economicsa2r 17-384 & Kevin McGarigal Barbara J. Marks 1994XQFRAGSTATS: Spatial Pattern Analysis Program for Quantifying Landscape Structure  Portland, OR VOU.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research StationX 1994"Gen. Tech. Rep. PNW-GTR-351t fragstats Report PNW-GTR-351HAA novel use of the lacunarity index to discern landscape function&Nancy E. McIntyre John A. WiensLandscape Ecology mcintyre0015May 2000 2000313-32148& Mertens, Benoit Lambin, Eric. F. 1997>7Spatial modelling of deforestation in southern CamerooneApplied Geographyu172c143-162c $Miller, John H. Shubik, Martin 1992LFSome Dynamics of a Strategic Market Game with a Large Number of Agents  Santa Fe, NM Santa Fe Institute Working paper 92-11-057eMiller, John H.  1996D>The coevolution of automata in the repeated Prisoner's Dilemma4-Journal of Economic Behavior and Organization\29 87-112miller96from SFI reading list Miller, John H.  1998@:Active nonlinear tests (ANTs) of complex simulation modelsManagement Science446o 820-30 June<5Complex systems Sensitivity Analysis Model Validation<6http://pubsonline.informs.org/main/index.html?user=651("Takahiro Miyao Yoshitsugu Kanemoto 1987,&Urban Dynamics and Urban Externalities New York "Harwood Academic Publishers 0*Fundamentals of Pure and Applied Economics 198711kanemoto John Motloch 2001& Introduction to Landscape Design New York  John Wiley 2001Motlocht4.Munroe, Darla Jane Southworth Catherine Tucker 2001leThe Dynamics of Land-Cover Change in Western Honduras: Spatial Autocorrelation and Temporal Variationt@:American Agricultural Economics Association Annual Meeting  Chicago, IL August 5-8 Nelson, A. 2001jdAnalysing data across geographic scales in Honduras: Detecting levels of organisation within systems.'Agriculture, Ecosystems and Environment 85 1-3a239-248oD>D.C. Nepstad P.R. Moutinho C. Uhl I.C. Vieira J. M.C. da Silva 1996^XThe ecological importance of forest remnants in an eastern Amazonia frontier landscape J. Schelhas R. Greenberg,%Forest Patches in Tropical Landscapes Washington, D.C.  Island Press133-150J 1996 nepstad96.'Nyarko, Y. Woodford, M. Yannelis, N. C.m 19944.Bounded rationality and learning: IntroductionEconomic Theoryb4t811-820O'Sullivan, D. 2001NHGraph-cellular automata: a generalised discrete urban and regional model Environment and Planning B285r687-706n$Ogneva-Himmelberger, Yelena A. 1998xrExploring Empirical Diagnostic Modeling of Land-Use/Land-Cover: An Example from Southern Yucatan Peninsular Region  Worcester, MA Clark University Openshaw, S. 1977tnA geographical study of scale and aggregation problems in region-building, partitioning, and spatial modelling:4Transactions of the Institute of British Geographers New Series 2459-472 Openshaw, S. 1994>8Computational human geography: Towards a research agenda Environment and Planning A26499-508n Openshaw, S. 1995|uHuman systems modelling as a new grand challenge area in science: What has happened to the science in social science?P Environment and Planning A27159-164@9Oreskes, Naomi Shrader-Frechette, Kristin Belitz, Kenneth 1994ZTVerification, validation, and confirmation of numerical models in the earth sciencesScience} 263{641-64674 February 1994$ Ostrom, E. 1998NHA behavioral approach to the rational choice theory of collective action(!American Political Science Review\92 1-222,Otter, H. S. van der Veen, A. Vriend, H. J. 2001NGAbloom: Location behaviour, spatial patterns, and agent-based modelling <5Journal of Artificial Societies and Social Simulation44 onlinePage, Scott E. 199760On incentives and updating in agent based modelsComputational Economicse101n 67-87vpThis paper introduces the concept of incentive based asynchronous updating in which the order of updating is determined by incentives. Previously, asynchronous updating has been shown to yield greater stability than synchronous updating for a variety of dynamical systems. However, in those models the order of updating is random. When incentives determine the ordering, the dynamics and end states change. For a conformity model on a two dimensional cellular automata, incentive based asynchronous updating yields greater linear disparity. For the game of life, it results in much greater sensitivity to initial conditions. On the emergence of cities Scott E. Page Journal of urban economics page9945 1999 1999184-201y1WDalee9T9V9U9L99 9l 9T934U4LbV8abWbnielrlaPtavvCeheleeeeze|vvJvidsfs@ss s sJ ss_eD ssonDm sm wwidmnl''H''''''spparkey$e~e{C CeadmanHnnn*ncAcCadeCi{ide|ingsionBssyssmaking sy fy fy ffy fy fy fy fy fy fy fprices|e~e{e"estsmFmate*n!n" ncetonW id i" iW id iiplesJ s] ozoriLities soner'sou t ttchardi5 obabilisticlymlemsss2scccedure} e eedingss s sC s7 s; s= s s sSssrrdye{e|eesi i i i i i i iing|ducess~ttionv v vvityfg fessionalgnosisgnosisnosisgnosisgnosisgnosis ofrEuNmesa|cl76;<>@BEHIJMOZ]_`cdfghklpPPPPPPPPPPPPPPPPsa|cl76;<>@BEHIJMOZ]_`cdfghklGpqrsw{|}Peir deficits via seignorage. Agents make decisions about their savings and portfolio decisions. They use the genetic algorithm to update their decision rules. The results presented in the paper show that the currency of the country that finances larger of the two deficits becomes valueless. The adjustment process is characterized by a flight away from the currency used to finance the larger of the two deficits. The economy converges to a stationary equilibrium that corresponds to a single-currency economy.dzURIRs5eeDA egeidddddd d1dwddTdVdLdDdd\d^dddddaddbdcdd7dddd;ddCdHdLdMd^d`dadjd8dddddddbd$dddddydddddKdfffyfful}rzrrs~sing t$tQttdttttzttft{tilityVWVaTaVaUaLaeaa^aaa> alidationj l lf lIleyuuationseeeeeeeeePlanninga-tctPt\tNt$tItingateau^forms yingINjNWjo1olhill`iciesyoywttttvttical n6 n y y lye. ycentricityfgonfsntiusoj000ool~rEr^s~s~srlypulationE r s} s{ s  s  s  s  s  s  s  s  sctPt\tNtt$tItingateau^forms yingINsNjNWojo1olhill`iciesyoywttttktrtttvttical n6 n y y lye. ycentricityfgonfsntiusoj000ool~rEr^sus~s~srlypulationE r} s{ s  sb ConnectionoKsecolOrvationU iL iK iidert}t}ationningtrained t suct i ingYtesnY nc nndsMtsu]xts~inuoussrastingoltvWvlll)lyl}lzl{l|lFllingversiesvergenceyssiono okJperJrateion v  vd vC vE vC v ver rdinationpyeOrlettO97smasnell ps rrelationrV spondencey sstaanzassssssss&;National=u ua u uuraleeVBB]Be:elB:BBeaareeediii ighborhoodp phlsons oclassicaldNpstadN96t herlandsworksw#w%ural%w}oho[oo-oEono2oS oX o o o o o o on oF o! o` ov os o o@ oJ ol om o o}ozstownicheolas|o{olaasYgelZhbhY hhtllsoItrogen" JQ MW M M o o o ol o o ooooooD[107E8t991+5R9 20001T5333,424402K51274492aAbletqdaptivegents=llgorithm&nalysisxdn8nn`ner rmy ssessmentGutomatonBank'eSledsoeuoxrurrowsmV CAmbridge tegorical0handlerhuviecobP ommunitiesplexitynnectedQstanza4Daily~ecisionsn velopmentivGamesAynamicsfEcology)nomicsrdelsteinLllis99a nvironment quilibriavolutionFxternalgFinances(orestractalrMomlrGeneralISWH3ereiouseholdpumanc!Impactlnd5dividualf, automaton@yangaM vailability iianywaycxellrodttctdt*tell9=9?y?94ycriggBMaa aDaa aeaCaDaKaaaaa,a.a/aRa[a]a^aPaNaa a a a aaaaasbinikamer'snlancingE d"inesem#m$ling$mannzzternondo2 ffkkkkkkkkkkkkkkaArnold~ound~~ rangementsnfy owtctK24hhur99@999 99|9@97i iclecAmbcficalial s s s} sz s= s s s sQ s# s s? sI lT lY l l l l} lz l| lD l lyssk/k@kkak-kokkkk~C}C{CC5C|CCfaabakawa$CEbkb k{kedppects~sVsessing mHmentt tt t t tU managementt n] n_ n` nb n n nB nK n i i i iO iV i i if i r r r r rKrs ipulating%nVsEsony0H00000E01}yfpppkpp}pfppedfsgingsrcaho5o:oTosgUgfgaretinalimon:na}ket{ss~s}s{s|ss~sso}oooovsssjs{seillehhttttttttttttttZd economicst y y5 ys yl y7 y= y@ yF yp y y y y y y yw y yd y y yt y y y y ym y y y y y y5 y y y y{ s5 sn yc e e=ess5stsy@ssssssys`systems s s s s s s s sB s d dI dh dj t8 t tAtqg12delsteinelsteinelsteinelsteinelsteinelsteinelsteinelsteinelsteinelsteinelsteinD2000h1F111333 3)313y3w3}3z333{3C33E3`1|1022222:2A2H2I2S2U2h2j2k282N22C2E2`2:2A2-2;1;1=1K1_1`1b1a1e1[11111111;133333111111p13#3V35+5U6*tCthC1 1c51R1~1[1n size variance, and elevation range and suggest that these and their map statistics will encompass most of the observed phenomena associated with things perceived as land pattern.Possess, Possess digital|DynamicsAFEEgEpAIAaaaaaaaaoaaaaaa aaaaa6aEaVa8aaa an alaaaalaachR5R|RERErlyCSeLCsCmenzn>the steernNnman: cological y y% y yd y y yN y7 yW y y y y y y y y yM y y y yd y y y y y y y yXyGnnnnnn\nJJJJJJJJJf~impactsVserfectl\ lementation~ ed} i imicationsiitoNortancet r~ r5 r| rf rCrovemmentsingHnItttttttttttttftMttttttttttttttttttttttttttttin appropriate neoclassical models with "calibrated agents" that represent actual human behavior. The paper discusses the possibilities of using the algorithm to represent human learning in normal-form stage games and in more general neoclassical models in economics. It explores the likelihood of convergence to long-run optimality and to Nash behavior, and the "characteristic learning time" implicit in human adaptation in the economy. Good for its view on vector-Vqualitybnn ntificationjyingtative i{iesgttrochi el e~estions|ss i}iteJRXeZeKeaaaaaaaaaaaaa aa a/a1a$aaOaVa*aaaaNaaeaacaaaCaSaUaWa]aacadajaa a aO a a aN aN aN a KChangessssssMssTsLs*sss^ssssssCsHsLsMsasjs8ssssssssssss~ssswsooo<osrr r racteristicsz zation y eds lese ellapilla tenham n n n}ntani}a cagoiO o o o oO oKnembiriXsholmoice6mmmmitzwWrleyywdury# ris_ tophe` eb ea e` e ruviecoiuviecoiuviecoiuviecoiuviecoiuviecoiuviecoiuviecoiuviecoiuviecoiuviecoiuviecoiuviecoiuviecoiuviecoiuviecoi<KanalysiszzzwzdzzjzezszMtWtgtt tvttticalze{s|s*sazic!cestral:dPsSs>sGsisIssssssssssssssssssssssssssssssssss @ #:`y@@cd?$IAPQR+oSOWw;l~M?<op}X,3YJOB[nTWVUL*zDI>=ZXm7dSRbfH]_fCeBG <;hEFtJ{F! rqg[\]^"# a\K %Ejgun`hNN2>6plmHMV1jP5 e)QkvUsa^|=Z0-KC8Lbic/T. D: 3 Gy?߿߷xn household demand Econometrica594e953-965  July6/spatial econometrics, spatial interdependenciesd Case, Anne 19926/Neighborhood influence and technological changed*$Regional science and urban economics22491-508\6/spatial econometrics, spatial interdependenciesInptt t)t,t.t1t2ttttOtTtUtLttdttttttFtt"ttttutNtttttt-tlt7tt>t@tJtOtPt]t^t`tbtctetgthtltttttttttt*ttt!tCtCtCtCtCtCtCtCtCt and suggest that these and their map statistics will encompass most of the observed phenomena associated with things perceived as land pattern.Possess, Possess digitalofrPPPPPPPPPPPPPfPPPPPPPP PPPP P#P%P)P,P.P/P2PPoPPyP~nnn}nTnULD ht{! []^"ticn g5{B@BAp@b5{_syllabus.0721@_#Q~ p`ΑB (dC`?Cu?Cu?Cu????Q5{&,28;?FNU[_gnv}F}FK5{pߐ."o IndividualzonesbweAgent ssys~s}szs{ss22002ssgg ggzggg0gg;g;g?gDgTggggygzgg|gfgregatePion2 rricculturalew e em e e e e] e e e e ew e^ oh oj o8 o oj o oo~headnn?Ibr|l{anb banyt:erti:camot exandridisgebraorithm$ s$ s sy ssJTwoyy~yzy{yy|yype{sUU!Uo c c c C C C C C C Cj C0 C CC CLY sCsbChFScNhlciucK K nInmcmichLmL ncertaintyee o}overdders~sWstandings* i g? g g g gz gBgulatesiques! veristypsityp pM pZ p p s s s s s s s s s s s s s s s s s s s s s s s s4y overlappingviewwwwnx xfordF P! P P PR P* P PF P! P P PR P PPaaaaa aaaa{aNaea|a0a-aaaDaAaHaKaLaRaanaaaaD aE ac a aaacej ificjpge9999K9`999p99h_hl_hl_hl_hl_hl_hl_hl_hl_hl_hl_hl_hl_hl_hl_hl_hl_hl_hl_hl_hlO3465C1j1j339U6353p3}3574G333I49803I56795y5[9_rd`4b4a44>11I1o11B1g1I0000M0y0}0L0z0{0[0\00|0f00>0A00I0c0c0c0c0pp&k&>«  pBb  n#`l csubctrlv h @n . 0Al etrgetrg@A@m M/2E/2Err4>0:tϠr$MM>M> $K(0l ccowwindx2@ t_+tjP oo> ({(vkvK;vP> Holland, J.H.t 199382The Effect of Labels (Tags) on Social Interactions& Santa Fe Institute Working Paper  Santa Fe, NM 93-10-064MHolland, John H. 19954.Hidden Order: How Adaptation Builds Complexity Helix booksl  Reading, MAe Addison-Wesley 185rTJ217 .H64 1995 holland95. Complex systems Adaptation$Emergence: From Chaos to OrderJohn H. Hollandn holland98  1998 1998  Reading, MA  Perseus Booksofrfffffyf~f}fzfff{ffff5f|fffff@ffnfFf!ff{ferLmans ice}tengnevaH H ligopolists ssoncMympicPmerpnIuuuuuuuu#u.uuVu uuuuuuu<uVuguuuivibi_e`ebeaeeeeye~e}ezee{ee|efeeiiiiiiiiiCHeroldgC01rm terogeneity o{ o o ousE u uuristicR s i vevelinknicksianddeniD erarchical yyggshe{eers{ss~stlMlands ls lle mmelberger nness,toricalBobbsG9B96lG7 cheschuleHffmanngggewegyldings<land99 9999255<8LytiermmemmadeandurashggOoodppkins,pentelling u~urlys_ seh` hb ha hholdholdholdhold@zsubjectsmitted  o o^odelrroutinestantialnFitutesny ion{tle}ccessfullyion}hgggestzifi itabilitymmarizesyppn+n@nyl;pplement= y{y-ort-ss}sIrreynvveyOivalO stainabilityEll lew*wedlunditchingsuCymposiumCsiumo nchronousPRstem@aaa~a~aticallya5sVicsttttttt-ttt:t@tDtHtItJtKtVtWtXt`tht[tttPttttttttttttNfrontiersssgunctiondds damentalsn rrtherGturess[s\z]z^z|zzy|GHGaaaaaaaaMaaa/a1a*aaCaaaacaaaCaRaSaeajaa7a a# a* A A AT AU An AAA$l lemmesssIrrrrrciad dnerJyssservvea,ydosd7bbandin- eertman$mjnXerallmmmWiganBldlifeeeneyX y l` llfioiam ss!shusennJnd?tersensenschaftlichethXXX}XzoooiDiii$iyi~ii|iifiihinooout olfengangrodfordtTldridge rcester kDkii ing llll0lllllHllllshopGl_l`lblalld~sssserserserserserserser*x Agarwal2002 Ahn2000: Alberti2000 Alcamo1994 Alexandridis2002X: Allen2001 Alonso1968 Alonso2000Andreoni1993Andreoni1995Angeline19999Angelsen19988 Anselin1988) Antona2001j` Antona2002Arifovic1994yArifovic2001 Arthur1988 Arthur1991 Arthur1993 Arthur1994 Arthur1994@ Arthur1997b Asakawa2002IAttonaty20011 Auber2003@ Auyang1998 Axelrod1984 Axelrod1986c Axelrod1997d Axelrod1997? Axtell1994= Axtell19966* Axtell20000 Aycrigg1997K B.Mombeshora2002 Baas1997 Babin2003 Bakam1998 Baker1989$ Balling1999 Balmann1997 Balmann2003 Balzter1998 Banzhaf1998I Barreteau2001K Barreteau2002 Barreteau2003P Batty1994Q Batty1994R Batty1994+ Batty1999 Batty2001A Batty2001o Baumol1988 Beckenbach1999> Belitz1994c7 Bell1996S Bell1999PBenenson19977OBenenson1998W Bennett1978% Benwell1996w Berger2001 Berger2002 Berger2002; Berry2002a Beulens2002l Bian1997f Bissonette1998 Bledsoe1992 Blume19967 Bockstael1996d Bockstael1997 Bockstael2000; Bockstael2002 Bohn1993 Boissau2003` Bommel2002 Bond1988Bousquet1998IBousquet20011KBousquet2002`Bousquet2002Bousquet2003~ Bower2000 Box2003 Brander1998 Braun1998 Bregt2001a Bregt2002M Briassoulis1999 Brondizio2001$ Brown1999 Brown2002 Bull19977~ Bunn20000 Bura1997cI Burke1998 Burrows1986J Carlton1999! Carr20000 Case1991 Case1992? Castelfranchi1998Castella20033< Casti1997o Casti1999Cecchini1990pCecchini1990Chandler1992 Chellapilla1999} Chen2001K Chinembiri2002XChisholm1967 Chomitz1996W Chorley1978Chuvieco1993, Clarke19973 Cliff1973Y Conte1995 Conte1997J Cooper-Ellis1999O Corlett1997 Cornell1995Costanza1986Costanza1989Costanza1989Costanza1991 Couclelis1985B Couclelis1986 Couclelis1997[ Craig2002 Cromley1999n Crutchfield1994KD'Aquino2002d'Aquino20033 Dale1991h Dale19929T Dale1993L Dale1994U Dale1994V Dale1998W Dale1998f David1998 Dawid1999 Day1986$ Day1999 Deadman2001H Deadman2001 Deadman2002 Deadman2003* Dean2000 DeFerrari1992LDijst Forthcomingn Doran1994M Drake1999 Drazan19955z Duffy2001@ Durlaf1997 Eastman1999Edelstein-Keshet1993D Edmonds2000^ Edwards1999; Elliot2002 Emmeche1997c Engelen1993 Engelen1994 Engelen1995/ Engelen1997 Engelen2000 EPA2000? Epstein1994= Epstein1996I Epstein1998> Epstein1999* Epstein2000 Ermentrout1993 Etienne2003 Evans2001 Evans2002 Evans2003) F. Bousquet2001 Fernandez2002C Fischer1995 Flamm1992 Fogel1999X Forman1986Z Forman1995 Forrest1991J Foster1999sm Fowler1999Francone1998C Fresco19955 Fresco19969 Frohn1997 Garcia19979 Gasser1988, Gaydos19977 Geoghegan1996d Geoghegan1997 Geoghegan1998 Gibson2000R Gigerenzer1999S Gigerenzer2001 Gilbert1994Y Gilbert1995 Gilbert1999b Gilbert2002K Giles1999f Giles1999 Gilruth1995Gimblett2001 Gintis1997X Godron1986 Gordon1984 Gorton1993H Gosselink1989 Gottfried19921 Gotts2001 Gray19969 Green2002] Grimble1997 Gronewold1998 Grove2002 Gurin-Pace1997*Gumerman2000 Hall1995 Hanink19999 Hannon19971 Happe2003_ Hare2002f Hargis1998 Harper1997 Harper19971[ Harris2002_ Heeb20020 Hegselmann1988 Hegselmann1997 Hegselmann1998C Herold2001e Heuvelink2002 Higgs1994 Hine20012B Hobbs1996G Hobbs1997HHoffmann2001Hoffmann2003Hoffmann2003 Hogeweg1988 Holland1990 Holland1991 Holland1992  Holland1993 Holland1995< Holland1998 Holtier1992 Hong2001, Hoppen1997 Hotelling1929 Howitt1995eHunsaker1995\7 Irwin1996; Irwin2002 Itami1995e Jackson1995h Jaeger2000 Jager2000 Janssen2000H Janssen2001 Janssen2003 Janssen2003EJanssen Forthcoming Johnson1992e Jones1995F Judd1997 Judson1994Kahneman1990 Kaimowitz1998t Kamien1991gnKanemoto1987JKauffman1994 Keller19988 Kellermann2003 Kelley20030Kerridge2001aKettenis2002; Kiel20022V King1998{ Kirman2001 Kleingarn2003 Klepper1997 Kling1993 Kohler19988F Kohler2000! Kohler2000 Kollman1997 Koza1992za1992za199219921992za19921992za1992za1992za1992za19921992za19921992za19921992za1992za1992 Koza1992 Koza1992 Koza199297 Koza1992 Koza199297 Koza1992n1997 Koza19921997 Koza199297 Koza19921997 Koza199297 Koza1992 Koza1992 Koza199297 Koza199297 Koza199297 Koza1992 Koza1992llman1997 Koza1992man1997 Koza1992man1997 Koza1992llman1997 Koza1992 Koza1992 Koza19921997 Koza199297 Koza199297 Koza199297 Koza1992llman1997 Koza1992llman1997 Koza1992man1997 Koza1992man1997 Koza1992llman1997 Koza1992llman1997 Koza1992llman1997 Koza1992Kollman1997 Koza1992llman1997 Koza1992 Koza19921997 Koza199297 Koza19921997 Koza19921997 Koza19921997 Koza1992Kollman1997 Koza1992Kollman1997 Koza1992man1997 Koza1992llman1997 Koza199297 Koza1992RiLandeicccc c1cTcVcUcLcc\c^ccccccaccbccbbbbbb;bbCbHbLbMbabjb8bbbbbbbbbbb$bbbbfbbb[isv\9]9^9[945\5]8ab^bSscapeX eZ eG eg s s s s s s s s s s s s s s `bl:RKAgarwal, Chetan Green, Glen M. Grove, J. Morgan Evans, Tom Schweik, Charlese 2000b\A review and assessment of land-use change models: Dynamics of space, time, and human choice^WFourth International Conference on Integrating GIS and Environmental Modeling (GIS/EM4)c  Banff, Canaday September 28a WWWh>7http://www.colorado.edu/research/cires/banff/upload/237F?An integrated urban development and ecological simulation modele"Marina Alberti Paul WaddellIntegrated AssessmentlAlbertia1d 2000 2000215-2273  Alcamo, J. 1994>7IMAGE 2.0: Integrated Modeling of Global Climate Change Dordrecht, Germany Kluwer Academic Publishers 82Alexandridis, Konstantinos T. Pijanowski, Bryan C. 2002~xMulti agent-based environmental landscape (MABEL) -- an artifical intelligence simulation model: some early assessments East Lansing, MI Michigan State University 1-26 June 2002@:Department of Agricultural Economics -- Staff Paper SeriesStaff Paper 2002-09hbagent-based modeling heuristics land use/cover transformation geo-spatial relations human behaviorto be presented at the AERE/EAERE: 2002 World Congress of Environmental and Resource Economics, Monterey, CA, June 24-27-2002 hard copy in filess Alonso, W. 1968*#Predicting best with imperfect data4-Journal of the American Institute of Plannersx34248-255Alonso, D. Sole, R.V.b 2000ZSThe DivGame Simulator: A stochastic cellular automata model of rainforest dynamics.\Ecological Modelling 1330 1/2l131-141r("Andreoni, James A. Miller, John H. 1993^WRational cooperation in the finitely repeated Prisoner's Dilemma: Experimental evidence0Economic Journal 103p 418  570-85This paper presents experiments designed to examine the sequential equilibrium reputation hypothesis in the finitely repeated prisoner's dilemma. The authors test the hypothesis by controlling the subjects' ability to build reputations and by manipulating their beliefs that their opponent is irrational or altruistic. The responses of subjects strongly support the sequential equilibrium prediction. The results also suggest an important role for 'homemade altruism,' that is, a natural tendency to cooperate that subjects bring to the experiment from the outside. The authors find that there may be no difference between the beliefs that an opponent is altruistic and the actual chance it is so.&Andreoni, James Miller, John H. 1995.(Auctions with artificial adaptive agents"Games and Economic Behaviorl10 39-64 Luc Anselinn 1988.(Spatial Econometrics: Methods and Models Dordrecht, Germany Kluwer Academic Presso 1988anselin0HAMartine Antona Pierre Bommel Francois Bousquet Christophe Le Page 2002Interactions and Organization in Ecosystem Management: The Use of Multi-Agent Systems to Simulate Incentive Environmental Policies Christoph Urban ,&3rd Workshop on Agent-Based Simulation Ghent, Belgium $SCS-European Publishing Housed 85-92 Arifovic, J. 19946/Genetic algorithm learning and the cobweb modelu.(Journal of Economic Dynamics and Control18 3-28 Development iq i ip i$ i i ie sszice iagnostic naD egoffer5eences s s{ t)t~ u{ if i iicultwusionfgitalLjstak lemmammumm mensional s rrectionss s| s s sastercgcerngreteiNuuusses5 p pparitye{ersion{ ss$tfoPonanceotancemilledributed vT v} vverseityGameGameGameGameHAThe SYPR Integrative Assessment Model: Complexity in Development :4Turner II, B. L. Foster, David Geoghegan, JacquelineZTFinal Frontiers: Understanding Land Change in the Southern Yucatan Peninsular Region  Oxford, UK & Claredon Oxford University PressLUCC, ADSS, manson_cvn.(Marimon, R. McGratten, E. Sargent, T. J. 1990VPMoney as a medium of exchange in an economy with artificially intelligent agents.(Journal of Economic Dynamics and Control14329-373 N Islande~olateKs2euegsyt<taaa~a{aa5a|aami eratedsIJeJJHJiaaaaaaaaaaaaaafa#a)a1a3aa$aoa*aa a{a"a ajaNaaea;aIaPaWana[aaaa a a* at a! aN a- aE aaeacksoniquelined s7 s ssheger0h00rger kartamesssssssssssISpatialeeeeeeeeeee ee%e2e3eewede!e eejeme7eeee;eBePeeekeleeeee llllllyeecialeesfffic^ationzulateK idergramshlittingrawle inger t tD q- q qc qquarettabilityn n l5lebdtbausimulationffggess]keholdermndard$f}ff5ffingfordford |C PPontius, R. G.Pontius, R. G. Jr.Pontius, R. G., Jr.Pontius, R. GilPontius, R.~Gil Portugali, J.0-Press., pages 135-158. University of MichiganPritchard, Lowell Jr. Proton, H. Pumain, D. Qi, Y.Quattrochi, D. A.Quattrochi, Dale A. R.~Greenberg R.~WhiteRabin, Matthew Rajan, K. S. Rajan, K.S. and R. Shibasaki Rand, W.p Ray, IsaReid, Leslie M.Requier-Desjardins, M.Rescher, NicholasReynolds, James F. Riley, R. H.Rindfuss, Ronald R. Riolo, R.Ritters, K. H. Ritters, K.H.and R.V. O'Neill Ritters, K.H.and R.V.~O'NeillRobinson, Jennifer Rouchier, J.Roy Chowdury, RinkuRussell, Stuart Ruxton, G. D. S.~MossSanchirico, James N. Sanders, L. Sanderson, S.Sanderson, StevenSaravia, L. A.Sargent, T. J. Sasaki, YukaSaura, Santiago Schelhas, J. Schelling, T.Schelling, Thomas C. Schlager, E. Schneider, L. Schot, P. Schuft, M. J. Schumaker, N.,&Schwartz, Morton I. Kamien and Nacy L.Schwartz, Nacy L.Schwartz, Nancy L.Schweik, Charles Scott, K. Selten, R. Shibasaki, R.Shortliffe, E. Shrader-Frechette, KristinShubik, MartinSilberberg, EugeneSilva, J. M.C. daSilva, J.M.C. daSilvertown, J. Simon, H. A. Sklar, F. Sklar, F. H. Sklar, F.H. Skole, D. Skvoretz, J. Smith, G.C. Sole, R.V.Sonnenschein, M.Southworth, FrankSouthworth, Jane Steins, N.A.Stern, Paul C. Sun, Z.Swedlund, A.C. T.M., Harris Taber, J.T.Takeyama, MasanaoTay, Nicholas S. P.Taylor, M. Scott Terna, P.Tesfatsion, L. Thrift, Nigel Tian, H.Timmins, S. P. Timmins, S.P. Tobler, W. R. Todd, P. Torrens, P.M.Torrens, Paul M Trame, A. Trani, M.K.Trani, Margaret KTroitzsch, K.G.Tucker, Catherine Tuner, M. G.Turner II, B. L.Turner, B. L. IITurner, B. L., IITurner, B.L. II Turner, I.M. Turner, M. G.Turner, Monica G.Turner, Monica~G. Tversky, Amos Uhl, C. Unjee, I.Urban, Christoph V.~Dalevan der Veen, A. Veldkamp, A. Velkamp, A.Verburg, P. H. Vieira, I.C. Viola, F. Vriend, H. J.Vriend, Nicolaas J.Wachowicz, Monica Waddell, Paul Wainger, LisaWainger, Lisa A.Waldrop, M. Mitchell Wang, YeqiaoWashington-Allen, R. A.Washington-Allen, R.~A. Wear, D.Webster, C. J.Webster, C.~J.Weibull, J. W.Weinberg, Charles B.Weinberg, Marca Weiner, D. Weiss, G. Wellard, K.West, Carla Van Westervelt, JWestervelt, James D. White, R.Wickham, J. D. Wickham, J.D.Wiens, John A.Wiens, John~A. Wigan, M.Wilen, James E.Williams, JeffreyWilshusen, Richard H.Wolfe, Douglas A. Woodford, M. Wooldridge, M Wu, F. Xie, Y. Xie, Yichun Yankee, D. H. Yankee, D.H.Yannelis, N. C.Yeh, Chia HsuanZambrano, EduardoZeigler, B. P. Zeigler, B.P. Zellner, M. Zhang, MingZhang, XinshengZiemelis, KarlZE6% HK.\za0 D Li, Bai-Lian 2000d^Fractal geometry applications in description and analysis of patch patterns and patch dynamicsEcological Modelling 1323 1 / 2 33-50l>8ecology, complexity, fractal, diss, scale, SOC, complex2(!There is a growing body of research on the relationship between biotic diversity and fractal geometry in a landscape. While it is generally true that "patch characteristics may be important factors in ecological diversity, stability, and function", (p. 34) the relationship between these ecological characteristics and any one measure is by no means simple. Very good overview of the use of fractal measures in a variety of applications, lots of citations to other fractal work. Contends that a simple SOC characterization of a landscape may not work without closer attention to processes occurring at varying temporal and scalar time scales, particularly when measurement techniques may not be successfully employed at all scales. "In general, we need to consider the following scales: (1) temporal scale: a) the lifetime/duration; (b) the period/cycle;' and (c) the correlation length/integral scale; (2) Spatial scale: (a) spatial extent; (b) space period; and (c) the correlation length/integral scale; and (3) 'Organism' scale: (a) body size/mass; (b) species-specific growth rate; (c) species extinction rate; (d) the life span; (e) the home range; (f) niche, and so on." (p.46). Author also identifies the process scale (in a hierarchy theory sense, within-level processes affecting each other); Observation scale, which is composed of "(a) the spatial (temporal) extent/coverage of a data set; (b) the resolution/spacing between samples; and (c) measurement scale or the integration volume/time of a sample." (p. 46) and the model/working/management scale.t Possess, Annotated, Getbib 0)Liebrand, W.B.G. Nowak, A. Hegselmann, R.a 1988,%Computer Modeling of Social Processesa London SAGE Publications\0)Ligtenberg, A. A.K. Bregt R. van Lammeren 2001JDMulti-actor-based land use modelling: spatial planning using agents,$ Landscape and Urban Planning 56 21-333VOArend Ligtenberg Arnold K. Bregt Monica Wachowicz Adrie Beulens Dik L. Kettenisg 2002HBMulti-agent Land Use Change Simulation: Modeling Actors Perception Christoph Urbanb,&3rd Workshop on Agent-Based Simulation Ghent, Belgium $SCS-European Publishing Housei 93-98@9Lim, K. Deadman, P. Moran, E. Brondizio, E. McCracken, S. 2001d^Agent-based simulations of household decision making and land use change near Altamira, Brazil Gimblett, H. RIntegrating Geographic Information Systems and Agent-Based Modeling Techniques for Understanding Social and Ecological Processes  Oxford, U.K. Oxford University Press& Longley, P. Higgs, G. Martin, D. 1994<6The predictive use of GIS to model property valuations@9International Journal of Geographical Information Systems82n217-235u:3Ludeke, Aaron Kim Maggio, Robert C. Reid, Leslie M.\ 1990RLAn analysis of anthropogenic deforestation using logistic regression and GIS*#Journal of Environmental Management031247-259 Luz, F. 2000RKParticipatory landscape ecology - a basis for acceptance and implementation"Landscape and Urban Planning50 157 - 1661ZTLynam, T. F. Bousquet P. D'Aquino O. Barreteau C. Le Page F. Chinembiri B.Mombeshora 2002hbAdapting science to adaptive managers: spidergrams, belief models,and multi-agent systems modelingConservation Ecology5260http://www.consecol.org/Journal/vol5/iss2/art24/ Lynam, T. 2003voComplex and useful but certainly wrong: A multi-agent agro-ecosystem model from the semi-arid areas of ZimbabweF  M. A. Janssen\VComplexity and Ecosystem Management: The Theory and Practice of Multi-Agent Approaches (!Cheltenham, U.K.; Northampton, MAp Edward Elgar PublishersbMacy, M. J. Skvoretz 1998RKEvolution of trust and cooperation between strangers: A computational model0"American Sociological Review63638-660"Mann, Samuel Benwell, George 1996zsThe integration of ecological, neural, and spatial modelling for monitoring and prediction for semi-arid landscapesr Computers and Geosciencess229 1003-1012Alucc, model, lucc_listPossess Manson, S. M.n 2000f`Agent-based dynamic spatial simulation of land-use/cover change in the Yucatn peninsula, Mexico^WFourth International Conference on Integrating GIS and Environmental Modeling (GIS/EM4)  Banff, Canada>8http://www.colorado.edu/research/cires/banff/upload/337/ Steven Mansont 2001<5Simplifying complexity: A review of complexity theoryGeoforum323405-414 2001manson01Manson, Steven M.y Forthcoming HAThe SYPR integrative assessment model: Complexity in development :4Turner II, B. L. Foster, David Geoghegan, JacquelineZTFinal Frontiers: Understanding Land Change in the Southern Yucatan Peninsular Region  Oxford, UK & Claredon Oxford University PressLUCC, ADSS, manson_cvn.(Marimon, R. McGratten, E. Sargent, T. J. 1990VPMoney as a medium of exchange in an economy with artificially intelligent agents.(Journal of Economic Dynamics and Control14329-373 C Castelfranchi, CristianoCastella, J.C.Casti, John L. Cecchini, A. Chandler, P.Chellapilla, KumarChen, Shu HengChinembiri, F. Chisholm, M.Chomitz, K. M.Chomitz, Kenneth M.Chorley, R. J. Chuvieco, E. Clarke, K.C. Cliff, A. D.Comley, Robert G. Conte, RConte, Rosaria Cook, K. S.Cooper-Ellis, Sarah Corlett, R.T. Cornell, J. Costanza, R. Couclelis, H.Couclelis, Helen Cowan, G. A. Cowan, George Craig, W.J.Cromley, Robert G.Crutchfield, J. P. d'Aquino, P. Dale, P. Dale, V. Dale, V. H. Dale, V.~H.Dale, Virginia H.Dale, Virginia~H. David, J.L Davidsson, P.Dawid, HerbertDay, J.W., Jr. Day, K.da~Silva, J.M.C. Deadman, P. Dean, J.S. DeFerrari, C. Dijst, M. Doran, J.Drake, Jason B.Drake, Jason~B. Drazan, P. Duffy, JohnDurlaf, Steven N.Durlaf, Steven~N. Eastman, R.Edelstein-Keshet, L. Edmonds, B. Edwards, V.M. Elliot, EuelEmmeche, Claus Engelen, G.$ Environmental, Protection AgencyEPA(%EPA (Environmental Protection Agency)Epstein, Howard EEpstein, Howard~E Epstein, J.M.Epstein, Joshua M.Epstein, Joshua~M.Ermentrout, G. B. Etienne, M. Evans, T. Evans, Tom Evans, Tom P. F. BousquetF.~WuFernandez, L. E. Fischer, G. Flamm, R. Fogel, DavidForman, R. T. T.Forman, R.~T.~T. Forrest, S. Foster, DavidFoster, David R.Foster, David~R. Fowler, M.Francone, Frank D. Fresco, L. Fresco, L. O.Frohn, Robert C.Frohn, Robert~C. G.~Engelen G.~Menz Gale, S. Garcia, M. C.Gardner, R. H. Gasser, L. Gaydos, L. Geertman, S. & Stillwell, J.Geoghegan, Jacqueline Gibson, C.C Gigerenzer, GGigerenzer, G. Gilbert, N.Gilbert, Nigel Giles, R.H.Giles, Robert H., Jr.Gilruth, P. T.Gimblett, H. RGintis, Herbert Godron, M.Goodchild, Michael F. Gordon, J. Gorton, GaryGosselink, J.G. Gottfried, R. Gotts, N.M. Gray, D. A.Gray, David A.Green, Glen L.Green, Glen M. Greenberg, R. Grimble, R. Gronewold, A.Grove, J. MorganGurin-Pace, F.Gumerman, G.J.Gumerman, George J.Hall, C. A. S.Hanick, Dean M.Hanink, Dean M.Hannon, Bruce M. Happe, K. Hare, Matt Hargis, C.D. Harper, S. J.Harper, Steve J. Harris, T.M.Heeb, JohannesHegselmann, R.Hegselmannr, Rainer Herold, M. Heuvelink, G. Higgs, G. Hine, J.Hobbs, N. ThompsonHobbs, N.~ThompsonHobbs, Richard Hoffman, M Hoffmann, M Hogeweg, P. Holland, J.H.Holland, John H.Holland, John~H. Holtier, S. Hong, Lu Hoppen, S.Hotelling, HaroldHowitt, Richard EHunsaker, C. T.Hunsaker, C.T.(#Intriligator, C. J. Bliss and M. D. Irwin, Elena Itami, R. J.~SchelhasJackson, B. L. Jackson, B.LJaeger, Jochend7mZXz>I=.'Engelen, G. R. White I. Unjee P. Drazan 1995~xUsing cellular automata for integrated modelling of socio-environmental systems, environmental monitoring and assessment.'Environmental Monitoring and Assessment?34203-214  EPAt 2000}Projecting Land-Use Change: A Summary of Models for Assessing the Effects of Community Growth and Change on Land-Use Patterns Cincinnati, OH NHU.S. Environmental Protection Agency, Office of Research and Development 260rEPA/600/R-00/098&Joshua M. Epstein Robert Axtelle 1996F?Growing Artificial Societies: Social Science from the Ground Upu Washington, D.C. "Brookings Institution Press7 1996 epstein96o& Howard E Epstein Ingrid C. Burke 1998^WPlant effects on spatial and temporal patterns of nitrogen cycling in shortgrass steppeg Ecosystems1p4 374-3850 1998 epstein9860Agent-based models and generative social scienceJoshua M. Epstein1 Complexity epstein99y4 July 1999 1999 41-605,&Ermentrout, G. B. Edelstein-Keshet, L. 1993:3Cellular automata approaches to biological modeling$Journal of Theoretical Biology 1601 97-1132,David Fogel Kumar Chellapilla Peter Angeline 1999>8Inductive reasoning and bounded rationality reconsidered6/IEEE Transactions on Evolutionary Computation 3p2i142-143f JulyLandscape Ecologyc R. T. T. Forman M. GodronoForman86 1986 1986 New York  John WileyLandscape Mosaics R. T. T. FormanForman95 1995 1995  Cambridge5 Cambridge University Press  Forrest, S. 1991{Emergent Computation: Self-Organization, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networksr  Cambridge, MA9  MIT PresssFowler, M. K. Scott 1999D=UML Distilled: Applying the Standard Object Modeling Language New York Addison Wesley LongmanFrohn, Robert C. 1997zsRemote Sensing for Landscape Ecology: New Metric Indicators for Monitoring, Modeling, and Assessment of Ecosystems Boca Raton, FL Lewis Publishers 1566702755D>Jacqueline Geoghegan Nancy Bockstael Kathleen Bell Elena Irwin 1996tnAn Ecological Economics Model of the Patuxent Watershed: The Use of GIS and Spatial Econometrics in Prediction:4Proceedings: Seventh International G.I.S. Conference June 1996bgbbandi81Jacqueline Geoghegan Lisa Wainger Nancy Bockstael  1997b\Spatial landscape indices in a Hedonic framework: An ecological economics analysis using GISEcological Economics23251-264A 1997 gwandbJacqueline Geoghegan Nancy Bockstael Kathleen Bell Elena Irwin 1996tnAn Ecological Economics Model of the Patuxent Watershed: The Use of GIS and Spatial Econometrics in Prediction:4Proceedings: Seventh International G.I.S. Conference June 1996bgbbandi81Jacqueline Geoghegan Lisa Wainger Nancy Bockstael  1997b\Spatial landscape indices in a Hedonic framework: An ecological economics analysis using GISEcological Economics23251-264A 1997 gwandb  bfbS~RGeoghegan, Jacqueline Pritchard, Lowell Jr. Ogneva-Himmelberger, Yelena Roy Chowdury, Rinku Sanderson, Steven Turner, B. L., II. 1998RL"Socializing the pixel" and "pixelizing the social" in land-use/cover change JCLiverman, Diana Moran, Emilio F. Rindfuss, Ronald R. Stern, Paul C.sPeople and Pixelso Washington, DC National Research Councile 51-69c& Gibson, C.C E. Ostrom T. K. Ahn 2000NHThe concept of scale and the human dimensions of global change: A surveyEcological Economics32217-239Gigerenzer, G. Todd, P. 1999*$Simple Heuristics that Make Us SmartEvolution and Cognitione Oxford Oxford University Press Gigerenzer, G R. Selten 20010)Bounded Rationality: The Adaptive Toolbox  Cambridge, MAt  MIT Pressd Gilbert, N. Doran, J.t 1994HASimulating Societies: The Computer Simulation of Social Phenomenan London  UCL Press Gilbert, N. K.G. Troitzsch 1999*#Simulation for the Social Scientista  London, UK Open University Pressi.(Nigel Gilbert Sarah Maltby Tasia Asakawa 2002^WParticipatory Simulations for Developing Scenarios in Environmental Resource Managementt Christoph Urbane,&3rd Workshop on Agent-Based Simulation Ghent, Belgium $SCS-European Publishing Housep 67-72a.'Giles, Robert H., Jr. Trani, Margaret Kf 19990*Key elements of landscape pattern measuresEnvironmental Management234p477-481oF?pattern, edge, validation, fractal, fragmentation indices, dissoDescribing patterns in the landscape and interpreting the effects of these patterns on flora, fauna, and other factors has been of long-standing interest. Many descriptors have been developed, and these aggregate factors into a single index. The identical numerical result for a multifactor index can be attained by using an array of very different values. We list six important factors for describing a mapped area: the area, the classes, proportion of dominant class, number of polygons, polygon size variance, and elevation range and suggest that these and their map statistics will encompass most of the observed phenomena associated with things perceived as land pattern.Possess, Possess digital,%Gilruth, P. T. Marsh, S. E. Itami, R.o 1995^WA dynamic spatial model of shifting cultivation in the highlands of Guinea, West AfricaEcological Modelling79179-197iRKglobal climate change, human dimensions, , models, 971104, DESM, Orals_luccS 2 +Summary: This work falls under Baker's spatial landscape model, a whole mosaic model in which each cell has only one value of state of several possible states. 1) Model characteristics: a) 60-km2 study site; b) Factors include land tenure, travel time to site, productivity based on fallow time, slope, and village size; c) data sources include 1953 B/W and 1983 IR aerial, DEM, and data from 25 field sites; and d) Land use classes = agriculture, shifting agriculture, bare plateau, forest, and vegetated slope savanna. 2) Model development: a) Input states derived from photos placed in GIS for proximity to villages, productivity, and labor variables by land-use type; b) Village growth subroutine adds cells adjacent to previous year's village with friction factors assigned to slopes. Basic level of growth is linear interpolation between 1953 an d1989 data; c) Preference map subroutine combines factors with Hopkins (1977) pair-wise hierarchical combination (CP) of factor sub-sets mapped onto a look-up table; d) Time step of two years; e) Derivation of productivity based on years fallow; f) Derivation of land-clearing labor variable based on land-use type; g) Derivation of slope map; h) Site proximity routine where higher suitability accorded to proximity to village sites and no over-night stays; i) Final site preference map derivation and site allocation. Cells grouped according to preference over factors, each group secondarily grouped by proximity, and a unique number to each cell; and j) land-use recoded. 3) Model testing: a) slope and distance of shifting agriculture via chi-square; b) observed location of sites via error-matrix and overall Kappa; and c) observed shape of sites via total and mean number of cells per clump. 4) Results: a) single vs. combined variables have no overall difference. Single variables sometimes better in given tests; b) gravity model on proximity produces no change; c) random factor in site selection gave better fit to site selection test but worse clumping; and d) in general, several results should be compared to give general trends. 5) Further directions: a) better LU classification of non-arable land; b) better estimate of land productivity; c) better data frequency, 1953 to 1989 is too long of a time; d) better knowledge of walking/distance effects, and e) better knowledge of slope factors. NB: CP technique good for no assumption of linearity, the user can apply his or her experience, offers a more structured approach than straight linear combination, and the user is not required to evaluate all combinations of factors.Possess, Annotated b@@*0yArifovic, Jasminao 20014.Evolutionary dynamics of currency substitution.(Journal of Economic Dynamics and Control25 3-4\395-417{,%This paper examines the issues related to the competition between two currencies in an agent-based computational economic model. The economic environment is a two-country overlapping generations economy with no restrictions on foreign currency holdings. Governments of both countries finance their deficits via seignorage. Agents make decisions about their savings and portfolio decisions. They use the genetic algorithm to update their decision rules. The results presented in the paper show that the currency of the country that finances larger of the two deficits becomes valueless. The adjustment process is characterized by a flight away from the currency used to finance the larger of the two deficits. The economy converges to a stationary equilibrium that corresponds to a single-currency economy.dArthur, W.Briana 1988.(Self-reinforcing mechanisms in economics 6/Philip W. Anderson Kenneth J. Arrow David Pinesl0)The Economy As an Evolving Complex System Redwood City, CA Addison-WesleyV 9-33>8Santa Fe Institute Studies in the Sciences of ComplexityArthur, W. Brians 1991hbDesigning economic agents that act like human agents: A behavioral approach to bounded rationality60American Economic Review, Papers and Proceedings812353-359eArthur, W. Brian  1993@:On designing economic agents that behave like human agents(!Journal of Evolutionary Economicsn3r1m 1-22D>complexity, agent-based models, AAA, Orals_lucc, agents, cipec(!Explores the idea of constructing theoretical economic agents that behave like actual human agents and using them in neoclassical economic models. It does this in a repeated-choice setting by postulating "artificial agents" who use a learning algorithm calibrated against human learning data from psychological experiments. The resulting calibrated algorithm appears to replicate human learning behavior to a high degree and reproduces several "stylized facts" of learning. It can, therefore, be used to replace the idealized, perfectly rational agents in appropriate neoclassical models with "calibrated agents" that represent actual human behavior. The paper discusses the possibilities of using the algorithm to represent human learning in normal-form stage games and in more general neoclassical models in economics. It explores the likelihood of convergence to long-run optimality and to Nash behavior, and the "characteristic learning time" implicit in human adaptation in the economy. Good for its view on vector-training (i.e., simple) learning. Possess, AnnotatedArthur, W. Briang 19942+Inductive reasoning and bounded rationalityc60American Economic Review, Papers and Proceedings842 406-411Arthur, W. Brian 1994>7Path dependence, self-reinforcement, and human learning W. Brian Arthur<5Increasing Returns and Path Dependence in the Economya  Ann Arbord "University of Michigan Press135-158Z 2+W. Brian Arthur Steven N. Durlaf David Lanee 19972,The Economy As an Evolving Complex System II  Reading, MA\ Addison-Wesley.(SFI studies in the science of complexity 1997arthur97Auyang, Sunny Y. 1998leFoundations of Complex Systems Theories: in economics, evolutionary biology, and statistical physics $Cambridge, New York, Melbourne Cambridge University PressAxelrod, R. M. 1984"The Evolution of Cooperation New York  Basic BooksfAxelrod, R. M. 1986(!An evolutionary approach to normsn(!American Political Science Reviewi80 1096-1111 modelsEcological Modelling48 1/2 1-18 LETurner, B.L. II D. Skole S. Sanderson G. Fischer L. Fresco R. Leemanss 1995<5Land-Use and Land-Cover Change; Science/Research Plan Stockholm and Geneva  IGBP and HDP("IGBP Report No.35, HDP Report No.7$Tversky, Amos Kahneman, Daniel 19902,Rational choice and the framing of decisions Cook, K. S. Levi, M. The Limits of Rationality  Chicago, IL "University of Chicago Presso 60-89tn5152X117)3n314;4]5)9 6708596T668600T0^00F000>07B00001|3_3\33 4 845>1>6517]7_60 0]67b8k8817N79Z5B571C0N0613B3;78;88=91=2b23111.1444444444444M~,l;,wWO Benenson, I. 1998@:Multiagent simulations of residential dynamics in the city.(Computers, Environment and Urban Systems221 25-42$Bennett, R. J. Chorley, R. J. 1978>8Environmental Systems: Philosophy, Analysis, and Control  Princeton, NJ Princeton University PressBerger, Thomas 2001Agent-based spatial models applied to agriculture: A simulation tool for technology diffusion, resource use changes, and policy analysisAgricultural Economics25 2-3245-260? September@60Berry, Brian J. L. Kiel, L. Douglas Elliot, Euel 2002xqAdaptive agents, intelligence, and emergent human organization: Capturing complexity through agent-based modeling56/Proceedings of the National Academy of Sciences99 Supplement 3 7178-7188 May 14, 2002 Bian, Ling 1997JDMultiscale nature of spatial data in scaling up environmental models 0)Quattrochi, Dale A. Goodchild, Michael F.&Scale in Remote Sensing and GIS New York Lewis Publishers 13-26 Blume, Lawrence E. 1996Population Games  Santa Fe, NM The Santa Fe InstituteWorking paper; To appear in The Economy as an Evolving, Complex System II, edited by W. Brian Arthur, David Lane, and Steven N. Durlaufo 96-04-022r Bohn, Henning Gorton, Gary 1993LECoordination failure, multiple equilibria, and economics institutions5 Economicar60257-280 AugustBond, A. H. Gasser, L. 19886/Readings in Distributed Artificial Intelligence4  San Mateo, CAm Morgan and Kauffman0*Bousquet, F. I. Bakam H. Proton C. Le Page 1998<5Cormas: Common-pool resources and multi-agent systems.(Lecture Notes in Artificial Intelligence 1416826-837epjBousquet, F. F. O. Barreteau P. d'Aquino M. Etienne S. Boissau S. Auber C. Le Page D. Babin J.C. Castella 2003RKMulti-agent systems and role games: An approach for ecosystem co-management  M. A. Janssen06/Multi-Agent Approaches for Ecosystem Management In preparation Bower, John Bunn, Derek W. 2000LEModel-based comparisons of pool and bilateral markets for electricityEnergy Journal213d 1-29A variety of market mechanisms have been proposed and implemented around the world in order to create competitive electricity pools and exchanges. However, it is an open question whether pool-based daily auctions or continuous bilateral trading deliver different prices under conditions of market power. In this paper we present a computationally intensive simulation model of the wholesale electricity market in England and Wales to isolate and systematically test the potential impact of alternative trading arrangements on electricity prices. After eight years of trading under a pool-based system, proposals were initiated in 1998 to change the market in England and Wales to bilateral trading. This paper uses agent-based simulation to evaluate two important aspects of that proposal. The results show that daily bidding with Pay SMP settlement, as in the original Pool day-ahead market, produces the lowest prices while hourly bidding with Pay Bid settlement, as proposed for the bilateral model, produces the highest prices.h("Brander, James A. Taylor, M. Scott 1998^XThe simple economics of Easter Island: A Ricardo-Malthus model of renewable resource use"The American Economic Review881119-138? March? brander98?.'Dynamic resource models, sustainabilitytHelen Briassoulise 1999F@Analysis of Land Use Change: Theoretical and Modeling Approaches& The Web Book of Regional Science West Virginia University "Regional Research Institute>7http://www.rri.wvu.edu/WebBook/Briassoulis/contents.htm" P. Burrows 1986`ZNonconvexity induced by external costs of production: Theoretical curio or policy dilemma?81Journal of Environmental Economics and Managementr13101-128? 1986burrows? Case, Anne 1991*$Spatial patterns in household demand Econometrica594e953-965  July6/spatial econometrics, spatial interdependenciesd Case, Anne 19926/Neighborhood influence and technological changed*$Regional science and urban economics22491-508\6/spatial econometrics, spatial interdependencies J~n#"^&]\ John Landis  1995NGImagining land use futures: Applying the California Urban Futures Model 2,Journal of the American Planning Association614p438-457 1995Landis95John Landis Ming Zhang 1998b[The second generation of the California Urban Futures Model: Part 1, Model logic and theoryt6/Environment and Planning B: Planning and Designc255657-666D 1998 Landis98aJohn Landis Ming Zhang 1998The second generation of the California Urban Futures Model. Part 2, Specification and calibration results of the land-use change submodel6/Environment and Planning B: Planning and DesignD256795-824  1998 Landis98b8*$Lansing, J. Stephen Kremer, James N. 1993haEmergent properties of Balinese water temple networks: Coadaptation on a rugged fitness landscapeAmerican Anthropologist951n 97-114Lansing, J. Stephenb 1993XRPriests and Programmers: Technologies of Power in the Engineered Landscape of Bali  Princeton, NJ{ Princeton University Press*$Lansing, J. Stephen Kremer, James N. 1993haEmergent Properties of Balinese Water Temple Networks: Coadaptation on a Rugged Fitness Landscapet Chris.G. LangtonArtificial Life III?  Reading, MA Addison-Wesley201-224LeBaron, Blake 200182A builder's guide to agent-based financial marketsQuantitative Finance1\2e 254-61This paper is intended to guide researchers interested in building their own agent-based financial markets. Key design questions are outlined, along with some of the major controversies about which directions to take.H|Lee, R. G. Flamm, R. Turner, M. G. Bledsoe, C. Chandler, P. DeFerrari, C. Gottfried, R. Naiman, R. J. Schumaker, N. Wear, D. 1992b\Integrating sustainable development and environmental vitality: A landscape ecology approach  Naiman, R. J.rNGWatershed Management: Balancing sustainability and environmental change New York Springer-Verlago499-5210)Christopher G. Leggett Nancy E. Bockstaels 2000JCEvidence of the effects of water quality on residential land pricesr81Journal of Environmental Economics and Management}39121-144e 2000 landb1 Levin, S.A.1 19922+The problem of pattern and scale in ecologyaEcology736 1943-1967"Li, Habin Reynolds, James F. 1997Modeling effects of spatial pattern, drought, and grazing on rates of rangeland degradation: A combined Markov and cellular automaton approach 0)Quattrochi, Dale A. Goodchild, Michael F.l&Scale in Remote Sensing and GISs New York Lewis Publishers211-230ipJournaluuuurrrrrrrrrrr)r$rQrryr~rr}rzrrrr{r\rrur5rrrr|rr;ppFpIpepppppKppruufuFudd5gmentson>lynnlnCneCrr7r7r7r7r7r7r7r7r acce (@ 9 zpp @ Ap5{5{Oz(@ 5{ Ct ϻ;ώ@Oz 5{~q~D%Oz(@ ,*) equilibriumy rric!mmentroutmrorss5ssayatimateinguarine t|tienne;uelsgenepropeanCv v_ v` vb va vCvvaluatei~iaingonnsee}ent|ttsrnr{yidencesszs}solution  ac ac ac ac ac ac ac a "#! q{q: "380;Xe9U_9U_9U_9U_9U_9U_9U_9Vd $  Management}39121-144e 2000 landb1 Levin, S.A.1 19922+The problem of pattern and scale in ecologyaEcology736 1943-1967"Li, Habin Reynolds, James F. 1997Modeling effects of spatial pattern, drought, and grazing on rates of rangeland degradation: A combined Markov and cellular automaton approach 0)Quattrochi, Dale A. Goodchild, Michael F.l&Scale in Remote Sensing and GISs New York Lewis Publishers211-230iKandippppppppppppppppp p%p)p+p,p.p/p1p$pRpyppp}pOppTp*pzppp{p!p[p]p^pppupppmppp|pbpcpppEpEpEpEpEpEpEp:::::::::::::""5{tO z:<A T H1gx.s~UvvkQ)e   K. S. Rajan R. Shibasaki 2000TMLand Use/Cover Changes and Water Resources - Experiences from AGENT-LUC Model  Tokyo, Japan ~wInternational Center for Disaster Mitigation Engineering (INCEDE), Institute of Industrial Science, University of Tokyo 1-16 Oct.Conference Proceedings19B;http://incede.iis.u-tokyo.ac.jp/reports/Report_19/Rajan.pdfHBW. Rand M. Zellner S. E. Page R. Riolo D. G. Brown L. E. Fernandez 2002TNThe Complex Interaction of Agents and Environments: An Example in Urban Sprawl Agent 2002  Chicago, ILv "Argonne National Laboratory http://agent2002.anl.gov/Isa Ray Jeffrey Williams 1999@9Evaluation of price policy in the presence of water theftr0*American Journal of Agricultural Economics814e928-941d November 1999  ray99fRescher, Nicholasa 1998JCPredicting the Future: An Introduction to the Theory of Forecastinge  Albany, NY ("State University of New York Press>8Riley, R. H. Phillips, D. L. Schuft, M. J. Garcia, M. C. 1997Resolution and error in measuring land-cover change: Effects on estimating net carbon release from Mexican terrestrial ecosystems.'International Journal of Remote Sensing181121-137h Riolo, R. 1997xqThe Effects of Tag-Mediated Selection of Partners in Evolving Populations Playing the Iterated Prisoner's Dilemma& Santa Fe Institute Working Paper  Santa Fe, NM 97-02-016tmK. H. Ritters R. V. O'Neill C. T. Hunsaker J. D. Wickham D. H. Yankee S. P. Timmins K. B. Jones B. L. Jacksona 1995B8Changes in Land-Use and Land-Cover: A Global Perspective Cambridge, U.K. Cambridge University Press 73-92@:Rouchier, J. F. Bousquet, M. Requier-Desjardins M. Antona 2001{A multi-agent model for describing transhumance in North Cameroon: Comparison of different rationality to develop a routinei.(Journal of Economic Dynamics and Control25527-559t$Russell, Stuart Norvig, Peter 19950*Artificial Intelligence: A Modern Approach Upper Saddle River, NJ  Prentice Hall"Ruxton, G. D. Saravia, L. A. 1998RKThe need for biological realism in the updating of cellular automata modelsrEcological Modelling 107 2/3105-112i("James N. Sanchirico James E. Wilen 1999B8Sanders, L. D. Pumain H. Mathian F. Gurin-Pace S. Bura 1997<6SIMPOP - a multiagent system for the study of urbanism6/Environment and Planning B: Planning and Design24287-305rSasaki, Yuka Box, Paul 2003>8Agent-Based Verification of von Thnen's Location Theory<5Journal of Artificial Societies and Social Simulation62.(http://jasss.soc.surrey.ac.uk/6/2/9.html& Saura, Santiago Millan, Martinez 2001D>Sensitivity of landscape pattern metrics to map spatial extent4.Photogrammetric Engineering and Remote Sensing679 1027-1036Schelling, Thomas C. 1969Models of segregationoAmerican Economic Review59488-4931 Schelling, T.l 1971$Dynamic models of segregation0(!Journal of Mathematical Sociology21l143-186aSchelling, Thomas C. 1978$Mircomotives and Macrobehavior.'Fels lectures on public policy analysisi New York  W. W. Norton Selten, R. 2001"What is Bounded Rationality? Gigerenzer, G R. Seltenu0*Bounded Rationality: The Adaptive Toolbox  Cambridge, MA  MIT Press 13-36iSilberberg, Eugene 1990:3The Structure of Economics: A Mathematical Analysise New York  McGraw-Hillt6/Silvertown, J. Holtier, S. Johnson, J. Dale, P.t 1992hbCellular automaton models of interspecific competition for space: The effect of pattern on processJournal of Ecology803e527-534a Simon, H. A. 19972,Behavioral economics and bounded rationality  Simon, H. A.$Models of Bounded Rationalityi  Cambridge, MA  MIT Presse1 267-433e Sklar, F. H. Costanza, R.f 1991^WThe development of dynamic spatial models for landscape ecology: A review and prognosis "Tuner, M. G. Gardner, R. H.c0)Quantitative Methods in Landscape Ecology New York Springer-Verlag239-288 Ecological Studies Vol. 82Smith, G.C. Bull, D.S. 1997XRSpatial and temporal ordering of events in discrete cellular automata: An overviewEcological Modelling96 1/38305-32425Pj1VM24NH8mlX Dawn C. Parker 1999f_Landscape Outcomes in a Model of Edge-Effect Externalities: A Computational Economics Approachk  Santa Fe, NM Santa Fe Institute July 1999{2,Santa Fe Institute Working Paper 99-07-051 E 99-07-051 E me3JDhttp://www.santafe.edu/sfi/publications/Working-Papers/99-07-051.pdfDawn C. Parker 2000b[Edge-effect externalities: Theoretical and empirical implications of spatial heterogeneityc*#Agricultural and Resource Economicsa  Davis, CAl (!University of California at Davis 168Y Septembero Ph.D mydiss4-Parker, Dawn C. Evans, Tom P. Meretsky, Vickyu 2001d]Measuring emergent properties of agent-based land-use/land-cover models using spatial metricsdXRSeventh Annual Conference of the International Society for Computational Economics  New Haven, CTt June 28-29thConference paper JDParker, Dawn C. Manson, S. M. Janssen, M. A. Hoffmann, M Deadman, P. 2001XRMulti-Agent Systems for the Simulation of Land-Use and Land-Cover Change: A Review  Bloomingtonw CIPEC, Indiana University Working PaperCW-01-05 2,Parker, Dawn C. Berger, Thomas Manson, S. M. 2002|Meeting the Challenge of Complexity: Proceedings of the Special Workshop on Agent-Based Models of Land-Use/Land-Cover Change  Santa Barbara  CIPEC/CSISS CIPEC Collborative Report CCR-3 lc_abm0)http://www.csiss.org/maslucc/ABM-LUCC.htm 2,Parker, Dawn C. Berger, Thomas Manson, S. M. 2002f`Agent-Based Models of Land-Use/Land-Cover Change: Report and Review of an International Workshop Bloomington, IN\  LUCC Focus 1LUCC Report Series6 lc_abm<6http://www.indiana.edu/~act/focus1/FinalABM11.7.02.pdfJDParker, Dawn C. Manson, S. M. Janssen, M. A. Hoffmann, M Deadman, P. 2003XRMulti-Agent Systems for the Simulation of Land-Use and Land-Cover Change: A Review81Annals of the Association of American Geographers932 lc_abm0)Required. (Not for student presentation)PIhttp://www.csiss.org/events/other/agent-based/papers/maslucc_overview.pdfv"Parker, Dawn C. Meretsky, V. ForthcomingmleMeasuring Pattern Outcomes in an Agent-Based Model of Edge-Effect Externalities Using Spatial Metrics0.'Agriculture, Ecosystems and Environment lc_abmRequiredHAhttp://php.indiana.edu/~dawparke/papers/aee_final/parker_text.pdft60Scott M. Pearson Monica G. Turner Jason B. Drake 1999leLandscape change and habitat availability in the Southern Appalachian Highlands and Olympic PeninsulaEcological Applicationse94 1288-1304 1999 pearson99"Phelan, Steven E.e 1999F@Note on the correspondence between complexity and systems theory,%Systemic Practice and Action Researchd123237-238Phipps, Michel 1989\VDynamical behavior of cellular automata under the constraint of neighborhood coherenceGeographical Analysis213197-215 Plantinga, A. J. 19990)The Economics of Land Use: A Bibliography0  Orono, MEE JCThe Agricultural and Forest Experiment Station, University of MaineA 744a*#Polhill, J.G. N.M. Gotts A.N.R. Lawc 2001HAImitative versus nonimitative strategies in a land-use simulationrCybernetics and Systemsl321n285-3075Pontius, R. G., Jr.h 2000RLQuantification error versus location error in comparison of categorical maps4.Photogrammetric Engineering and Remote Sensing668  1011-1016 pontius00"Pontius, R. G. Schneider, L. 200160Land-use change model validation by a ROC method.'Agriculture, Ecosystems and Environment85 1-3 239-248y("Portugali, J. Benenson, I. Omer, I 1997XQSpatial cognitive dissonance and sociospacial emergence in a self-organizing city Environment and Planning B24263-285%Rabin, Matthew 1998Psychology and economics$Journal of Economic Literature361l 11-46f Marcho.(Behavioral economics Bounded rationalityBecause psychology systematically explores human judgment, behavior, and well-being, it can teach us important lessons about how humans differ from the way they are traditionally described by economists. This essay discusses a selection of psychological findings relevant to economics. While standard economics assumes that each person maximizes stable and coherent preferences given rationally-formed probabilistic beliefs, psychological research teaches us about ways to describe preferences more realistically, about biases in belief-formation, and about ways it is misleading to conceptualize people as attempting to maximize stable, coherent, and accurately perceived preferences.CKB- 0Z|=|^a<6Southworth, Frank Dale, Virginia H. O'Neill, Robert V. 1991d^Contrasting patterns of land use in Rondnia, Brazil: Simulating the effects on carbon release*$International Social Science Journal 130s681-798l Frank Southworth 1995zA Technical Review of Urban Land Use - Transportation Models as Tools for Evaluating Vehicle Travel Reduction Strategies  Oak Ridge, TN- $Oak Ridge National Laboratory[ 1995 Southworth Steins, N.A. V.M. Edwards\ 1999LEPlatforms for collective action in multiple-use common-pool resourcesu"Agriculture and Human Values16241-255e(!Takeyama, Masanao Helen Couclelisr 1997NGMap dynamics: Integrating cellular automata and GIS through Geo-Algebra@9International Journal of Geographical Information Scienceo111\ 73-91("Tay, Nicholas S. P. Linn, Scott C. 2001ZTFuzzy inductive reasoning, expectation formation and the behavior of security prices.(Journal of Economic Dynamics and Control25 3-4[ 321-61This paper extends the Santa Fe Artificial Stock Market Model (SFASM) studied by LeBaron, Arthur and Palmer (1999) in two important directions. First, some might question whether it is reasonable to assume that traders are capable of handling a large number of rules, each with numerous conditions, as is assumed in the SFASM. We demonstrate that similar results can be obtained even after severely limiting the reasoning process. We show this by allowing agents the ability to compress information into a few fuzzy notions which they can in turn process and analyze with fuzzy logic. Second, LeBaron et al. have reported that the kurtosis of their simulated stock returns is too small as compared to real data. We demonstrate that with a minor modification to how traders go about deciding which of their prediction rules to rely on when making demand decisions, the model can in fact produce return kurtosis that is comparable to that of actual returns data.Tesfatsion, L. 2001NHIntroduction to the special issue on agent-based computational economics.(Journal of Economic Dynamics and Control25 3/4a281-293iTesfatsion, L. 2002PIAgent-based computational economics: Growing economies from the bottom upb6/Proceedings of the National Academy of Sciencest99 Supplement 3 7191-7192e Thrift, Nigel 1999The place of complexity "Theory, Culture and Society 163 31-69 Tobler, W. R.a 1979Cellular geography Gale, S. Olsson, G.\Philosophy in Geographyi Dordrecht, Netherlands "D. Reidel Publishing Company379-386i(!Torrens, Paul M O'Sullivan, David 2001HACellular automata and urban simulation: Where do we go from here?  Environment and Planning B282163-168  Torrens, P.M.l 2001jcCan geocomputation save urban simulation? Throw some agents into the mixture, simmer and wait . . .g & University College, London, U.K.CASA Working paper32 Torrens, P.M.L 2002leNew advances in urban simulation: Cellular automata and multi-agent systems as planning support tools0 "Geertman, S. & Stillwell, J.*$Planning Support Systems in Practice London Springer-Verlag] forthcomingf 81Trame, A. Harper, S. J. Aycrigg, J. Westervelt, Jt 1997nhThe Fort Hood Avian Simulation Model: A Dynamic Model of Ecological Influences on Two Endangered Species Champaign, Ill. *#U.S. Army, Corps of Engineers, CERL 97/88trame9760http://blizzard.gis.uiuc.edu/dsm_FHASM_frame.htmLEAn analysis of deforestation: Metrics used to describe pattern changeM.K. Trani R.H. GilesA$Forest Ecology and Managementtrani99r 114l 1999 1999459-4709 2-39*$Turner, M. G. Costanza, R. Sklar, F. 1989F@Methods to evaluate the performance of spatial simulation modelsEcological Modelling48 1/2 1-18 LETurner, B.L. II D. Skole S. Sanderson G. Fischer L. Fresco R. Leemanss 1995<5Land-Use and Land-Cover Change; Science/Research Plan Stockholm and Geneva  IGBP and HDP("IGBP Report No.35, HDP Report No.7$Tversky, Amos Kahneman, Daniel 19902,Rational choice and the framing of decisions Cook, K. S. Levi, M. The Limits of Rationality  Chicago, IL "University of Chicago Presso 60-89tWaachowicz:ddellbibidinger0tldrop92l~esnkingcolaceng01}sVhington= t tN tter#sssss_ss7shedy y5y5ser~a}aa{a|afaarbMbMBookristeriribull nbergs[erlssT lllr5ra]ard~re~re~re~re~re~re~.^3$Tv #|Vo`SnVJi " if / K&0pN + <q p ne_7@{}QYfY3C"modelsEcological Modelling48 1/2 1-18 LETurner, B.L. II D. Skole S. Sanderson G. Fischer L. Fresco R. Leemanss 1995<5Land-Use and Land-Cover Change; Science/Research Plan Stockholm and Geneva  IGBP and HDP("IGBP Report No.35, HDP Report No.7$Tversky, Amos Kahneman, Daniel 19902,Rational choice and the framing of decisions Cook, K. S. Levi, M. The Limits of Rationality  Chicago, IL "University of Chicago Presso 60-89tJt"FEh;6Hong, Lu Page, Scott E.s 2001.'Problem solving by heterogeneous agents Journal of Economic Theory971\ 123-63|uA substantial amount of economic activity involves problem solving, yet economics has few, if any, formal models to address how agents of limited abilities find good solutions to difficult problems. In this paper, we construct a model of heterogeneous agents of bounded abilities and analyze their individual and collective performance. By heterogeneity, we mean differences in how individuals represent problems internally, their perspectives, and in the algorithms they use to generate solutions, their heuristics. We find that while a collection of bounded but diverse agents can locate optimal solutions to difficult problems, problem solving firms can exhibit arbitrary marginal returns to problem solvers and that the order that problem solvers are applied to a problem can matter, so that the standard story of decreasing returns to scale may not apply to problem solving firms.Harold Hotelling 1929Stability in competitionThe Economic Journal 41-57 1929 hotellinguHowitt, Richard E. 1995(!Positive mathematical programmingm0*American Journal of Agricultural Economics772\ 329-42 Mayf A method for calibrating models of agricultural production and resource use using nonlinear yield or cost functions is developed. The nonlinear parameters are shown to be implicit in the observed land allocation decisions at a regional or farm level. The method is implemented in three stages and initiated by a constrained linear program. The procedure automatically calibrates the model in terms of output, input use, objective function values, and dual values on model constraints. The resulting nonlinear models show smooth responses to parametrization and satisfy the Hicksian conditions for competitive firms.t"Elena Irwin Nancy Bockstaell 2002d]Interacting agents, spatial externalities, and the evolution of residential land use patterns\$Journal of Economic Geography 2a11 31-54 Jan0irwin01 Jochen Jaegern 2000leLandscape division, splitting index, and effective mesh size: New measures of landscape fragmentation;Landscape Ecologyr152115-130e February 2000ojaeger00Janssen, M.A. Jager, W.r 20004-The human actor in ecological economic models;Ecological Economics353 307-3101  Janssen, M.A 2003\VComplexity and Ecosystem Management: The Theory and Practice of Multi-Agent Approaches (!Cheltenham, U.K.; Northampton, MA Edward Elgar Publishersb Janssen, M. A. Ostrom, E.o ForthcomingilfAdoption of a New Regulation for the Governance of Common-Pool Resources by a Heterogeneous Population & J.M. Baland P. Bardhan S. Bowles>8Inequality, Cooperation and Environmental SustainabilityJudd, Kenneth L. 1997NGComputational Economics and Economic Theory: Substitutes or Complementsa.(Journal of Economic Dynamics and Control216h907942\ Judson, O. P. 199481The rise of the individual-based model in ecologyp&Trends in Ecology and Evolutione91 9-14 Kaimowitz, D. Angelsen, A. 1998:3Economic Models of Tropical Deforestation: A Reviewc Jakarta, Indonesia 0*Centre for International Forestry Research 1998(!Kamien, Morton Schwartz, Nancy L. 1991f_Dynamic Optimization: The Caculus of Variations and Optimal Control in Economics and Managementn ("C. J. Bliss and M. D. Intriligator&Advanced Textbooks in Economicsh  Amsterdam Elsevier312d kamienStuart Kauffmanl 1994piWhispers From Carnot: The Origins of Order and Principles of Adaptation in Complex Nonequilibrium Systemse ,&George Cowan David Pines David Meltzer0*Complexity: Metaphors, Models, and Reality New York Addison Wesley 83-160&Kerridge, J. Hine, J. Wigan, M.  2001f_Agent-based modelling of pedestrian movements: The questions that need to be asked and answered Environment and Planning B283n327-342  Holland, J.H.t 199382The Effect of Labels (Tags) on Social Interactions& Santa Fe Institute Working Paper  Santa Fe, NM 93-10-064MHolland, John H. 19954.Hidden Order: How Adaptation Builds Complexity Helix booksl  Reading, MAe Addison-Wesley 185rTJ217 .H64 1995 holland95. Complex systems Adaptation$Emergence: From Chaos to OrderJohn H. Hollandn holland98  1998 1998  Reading, MA  Perseus BooksS~oA+RQPINL$?dcVAxelrod, R. M. 1997<6Advancing the Art of Simulation in the Social Sciences &Conte, R R. Hegselmann P. Ternac"Simulating Social Phenomenai Berlin Springer 456 21-40:3Lecture Notes in Economics and Mathematical SystemsHAhttp://www-personal.umich.edu/~axe/research/AdvancingArtofSim.pdfAxelrod, R. M. 1997XRThe Complexity of Cooperation: Agent-Based Models of Competition and Collaboration  Princetond Princeton University Press("Robert L. Axtell Joshua M. Epstein 199481Agent-based modeling: Understanding our creations2,&The Bulletin of the Santa Fe Institute 28-32i Winter 1994axtell94 "Baas, Nils A. Emmeche, Claus 1997"On Emergence and Explanation  Santa Fe, NM Santa Fe Institute,&Working paper; submitted to Inellectia 97-02-008- Baker, W. L. 1989,&A review of models in landscape changeLandscape Ecology22111-1332+Balling, R.J. Taber, J.T. Brown, M. Day, K.o 1999>7Multiobjective urban planning using a genetic algorithm-4.ASCE Journal of Urban Planning and Development 125l2f 86-99i:3GA, genetic algorithm, land use planning, diss, gem`YPretty standard optimization apprach to parcel based plannign with 130 zones. Some math.Possess, Annotated Balmann, A.1 199782Farm-based modelling of regional structural change0)European Review of Agricultural Economics251n 85-1084.Balmann, A K. Happe K. Kellermann A. Kleingarn 2003VPAdjustment costs of agri-environmental policy switchings: A multi-agent approach  M. A. Janssen \VComplexity and Ecosystem Management: The Theory and Practice of Multi-agent Approaches (!Cheltenham, U.K.; Northampton, MAp Edward Elgar Publishers*#Balzter, H. Braun, P. W. Kohler, W.i 199860Cellular automata models for vegetation dynamicsEcological Modelling 107D 2/3g113-125rJDBanzhaf, Wolfgang Nordin, Peter Keller, Robert E. Francone, Frank D. 1998*$Genetic Programming: An introduction San Francisco, CAr Morgan Kauffman Publishers.'Barreteau, O. F. Bousquet J.M. Attonaty 2001Role-playing games for opening the black box of multi-agent systems: method and lessons of its application to Senegal River Valley irrigated systems<5Journal of Artificial Societies and Social Simulation42.(http://jasss.soc.surrey.ac.uk/4/2/5.htmlMichael Batty Yichun Xie 1994f`Modeling inside GIS: Part 1, Model structures, exploratory spatial data analysis and aggregation>7International Journal of Geographic Information Systems83291-307 1994 Batty1Michael Batty Yichun Xie 1994XRModeling inside GIS: Part 2, Selecting and calibrating urban models using ARC-INFO>7International Journal of Geographic Information Systemss8s5 451-470p 1994 Batty2Michael Batty Yichun Xie 1994From cells to cities Environment and Planning B21S31-S344 1994Batty94\Batty, M. Y. Xie Z. Sun 1999B;Modeling urban dynamics through GIS-based cellular automata\.(Computers, Environment and Urban Systems233 205-233  Batty, M. 2001&Agent-based pedestrian modeling\ Environment and Planning B283321-326Batty, M. Torrens, P.M. 20014.Modelling complexity: The limits to predictionCybergeo21 Dec. 4, 2001@9http://www.cybergeo.presse.fr/ectqg12/batty/articlemb.htm%("William J. Baumol Wallace E. Oates 1988("The Theory of Environmental Policy Cambridge, U.K.{ Cambridge University Press2d 1988 bando2Beckenbach, Frankt 19992+Learning by genetic algorithms in economicsu Brenner, ThomasoBtssssssssss~Uf2545^6C679l600w01,1P3>4d47J839J96T70000288?9999N000115P778~9e1 1u1P123z57thdodt33AA:APAK0000000000m[RR[m9_ I>\ o g ` < H  C j% x uL|y5U ] W x2VhOForestaNsKsOsNrrj r r rr ryHscmaalnXnZ8X86sZ95e|tionm5 e5edsrestthcomingE sL s s- sJsterJ u@ undationsrthmwlermAractalcggggggggggggggggggggggggggggggggggggggggg"3< .ZGBeClf_@]H Gimblett, H. R 2001Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Understanding Social and Ecological Processes  Oxford, U.K. Oxford University PressA Herbert Gintis 1997\UA Markov Model of Production, Trade, and Money: Theory and Artificial Life Simulation  Santa Fe, NM The Santa Fe InstituteTNWorking paper; Submitted to Computational and Mathematical Organization Theory 97-01-006 Gordon, J. Shortliffe, E.\ 1984HAThe Dempster-Shafer theory of evidence: Rule based expert systems "Buchanan, B. Shortliffe, E.tHBThe MYCIN Experience of the Stanford Heuristic Programming Project  Reading, MA Addison Wesley272-292MB;Cumulative impact assessment in bottomland hardwood forestsJ.G. Gosselink L. C. LeeWetlands gosselink8997 1989 1989 83-174Grimble, R. Wellard, K.U 1997zStakeholder methodologies in natural resource management: a review of principles, contexts, experiences and opportunities.Agricultural Systems55173-193.$Gronewold, A. Sonnenschein, M. 1998VOEvent-based modelling of ecological systems with asynchronous cellular automataEcological Modelling 1081 37-52<6Hall, C. A. S. Tian, H. Qi, Y. Pontius, G. Cornell, J. 1995JCModelling spatial and temporal patterns of tropical land use change Journal of Biogeography22 4/5M753-757M@9Matt Hare Davide Medugno Johannes Heeb Claudia Pahl-Wostlr 2002nhAn Applied Methodology for Participatory Model Building of Agent-Based Models for Urban Water Management Christoph UrbanJ,&3rd Workshop on Agent-Based Simulation Ghent, Belgium $SCS-European Publishing House 61-66,%C.D. Hargis J.A. Bissonette J.L DavidS 1998\VThe behavior of landscape metrics commonly used in the study of habitat fragmentationLandscape Ecologya1335167-186# 1998Hargis98Hegselmann, R. 19984-Modeling social dynamics by cellular automata\ ,&W.B.G. Liebrand A. Nowak R. Hegselmann,%Computer Modeling of Social Processest London SAGE Publications\ 37-64M. Herold G. Menzs 2001nhLandscape metric signatures (LMS) to improve urban landuse information derived from remotely sensed data M. F. BuchroithnerProceedings of the 20th EARSeL Sympsium Remote Sensing in the 22st Century: A Decade of Trans-European Remote Sensing Cooperation, 14-16 June 2000 Dresden, Germany251-256S June 2001azt20th EARSeL Symposium -- Remote Sensing in the 21st Century: A Decade of Trans-European Remote Sensing Cooperationherold016/http://www.geog.ucsb.edu// mherold/earsmenz.pdf82http://www.geog.ucsb.edu/~mherold/publication.html Heuvelink, G. 2002XQDevelopments in statistical approaches to spatial uncertainty and its propagation@9International Journal of Geographical Information Scienced162A 111 - 113h GIS.'Modification of ecosystems by ungulatesN. Thompson Hobbsn$Journal of Wildlife Managementhobbs96i60 1996 1996695-713t49<5Future landscapes and the future of landscape ecology  Richard Hobbsl"Landscape and Urban Planninghobbs9737 1997 1997 1-9 1-2$Hoffmann, M H. Kelley T. Evans 2003tnSimulating land-cover change in South-Central Indiana: An agent-based model of deforestation and afforestation  M. A. Janssen\VComplexity and Ecosystem Management: The Theory and Practice of Multi-Agent Approaches (!Cheltenham, U.K.; Northampton, MAp Edward Elgar Publishers Hogeweg, P. 1988>8Cellular automata as a paradigm for ecological modelling*#Applied Mathematics and Computation.271n 81-100Holland, John H. 1990NHConcerning the emergence of tag-mediated lookahead in classifier systemsPhysica  42D:188-201s:4ANN, GA, Classifier systems, coevolution, complexity4.Summary: Reprinted as the Proceedings of MIT.Possess.& Holland, John H. Miller, John H. 19914-Artificial adaptive agents in economic theoryAmerican Economic Review812o 365-71Holland, John H. 1992Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial IntelligenceComplex adaptive systems  Cambridge, MA  MIT Press 2111 1sts Holland929Complex systemsm Holland, J.H.t 199382The Effect of Labels (Tags) on Social Interactions& Santa Fe Institute Working Paper  Santa Fe, NM 93-10-064MHolland, John H. 19954.Hidden Order: How Adaptation Builds Complexity Helix booksl  Reading, MAe Addison-Wesley 185rTJ217 .H64 1995 holland95. Complex systems Adaptation$Emergence: From Chaos to OrderJohn H. Hollandn holland98  1998 1998  Reading, MA  Perseus Booksf    & ./\? 3^`bdsuwy{}g VmY XoZq2 f ThjlM "&(*,.0KNPR i ]c|IO_~Qozae(  BDFSHUWqY sG[u D kI w%mK M2y$'M O QS  `bl: RKAgarwal, Chetan Green, Glen M. Grove, J. Morgan Evans, Tom Schweik, Charlesd 2002b\A review and assessment of land-use change models: Dynamics of space, time, and human choiceJoint publication by the Center for the Study of Institutions, Population, and Environmental Change at Indiana University-Bloomington and the USDA Forest Service Burlington, VT >8USDA Forest Service Northeastern Forest Research StationUFS Technical Report NE-297 agarwal03*#LUCC, modeling methodology,lc_intro TMA review of different types of land-use change models incorporating human processes. Presents a framework to compare land-use change models in terms of scale (both spatial and temporal) and complexity, and how well they incorporate space, time, and human decisionmaking. Examines a summary set of 250 relevant citations and develops a bibliography of 136 papers. From these papers, 19 land-use models are reviewed in detail as representative of the broader set of models. Summarizes and discusses the 19 models in terms of dynamic (temporal) and spatial interactions, as well as human decisionmaking. Many raster models examined mirror the extent and resolution of remote-sensing data. The broadest-scale models generally are not spatially explicit. Models incorporating higher levels of human decisionmaking are more centrally located with respect to spatial and temporal scales, probably due to the lack of data availability at more extreme scales. Examines the social drivers of land-use change and methodological trends and concludes with some proposals for future directions in land-use modeling.$Requiredb\http://www.fs.fed.us/ne/newtown_square/publications/technical_reports/pdfs/2002/gtrne297.pdfF?An integrated urban development and ecological simulation modele"Marina Alberti Paul WaddellIntegrated AssessmentlAlbertia1d 2000 2000215-2273  Alcamo, J. 1994>7IMAGE 2.0: Integrated Modeling of Global Climate Change Dordrecht, Germany Kluwer Academic Publishers 82Alexandridis, Konstantinos T. Pijanowski, Bryan C. 2002~xMulti agent-based environmental landscape (MABEL) -- an artifical intelligence simulation model: some early assessments East Lansing, MI Michigan State University 1-26 June 2002@:Department of Agricultural Economics -- Staff Paper SeriesStaff Paper 2002-09hbagent-based modeling heuristics land use/cover transformation geo-spatial relations human behaviorto be presented at the AERE/EAERE: 2002 World Congress of Environmental and Resource Economics, Monterey, CA, June 24-27-2002 hard copy in filess Alonso, W. 1968*#Predicting best with imperfect data4-Journal of the American Institute of Plannersx34248-255Alonso, D. Sole, R.V.b 2000ZSThe DivGame Simulator: A stochastic cellular automata model of rainforest dynamics.\Ecological Modelling 1330 1/2l131-141r("Andreoni, James A. Miller, John H. 1993^WRational cooperation in the finitely repeated Prisoner's Dilemma: Experimental evidence0Economic Journal 103p 418  570-85This paper presents experiments designed to examine the sequential equilibrium reputation hypothesis in the finitely repeated prisoner's dilemma. The authors test the hypothesis by controlling the subjects' ability to build reputations and by manipulating their beliefs that their opponent is irrational or altruistic. The responses of subjects strongly support the sequential equilibrium prediction. The results also suggest an important role for 'homemade altruism,' that is, a natural tendency to cooperate that subjects bring to the experiment from the outside. The authors find that there may be no difference between the beliefs that an opponent is altruistic and the actual chance it is so.&Andreoni, James Miller, John H. 1995.(Auctions with artificial adaptive agents"Games and Economic Behaviorl10 39-64 Luc Anselinn 1988.(Spatial Econometrics: Methods and Models Dordrecht, Germany Kluwer Academic Presso 1988anselin0HAMartine Antona Pierre Bommel Francois Bousquet Christophe Le Page 2002Interactions and Organization in Ecosystem Management: The Use of Multi-Agent Systems to Simulate Incentive Environmental Policies Christoph Urban ,&3rd Workshop on Agent-Based Simulation Ghent, Belgium $SCS-European Publishing Housed 85-92 Arifovic, J. 19946/Genetic algorithm learning and the cobweb modelu.(Journal of Economic Dynamics and Control18 3-28