Multi-Agent Systems for the Simulation of Land-Use and Land-Cover Change: A Review

References

• Agarwal C. Green G. M. Grove J. M. Evans T. P. Schweik C. M. 2002. A review and assessment of land-use change models: Dynamics of space, time, and human choice. UFS Technical Report NE-297. Burlington, VT: U.S. Department of Agriculture Forest Service, Northeastern Forest Research Station. Also available at http://www.fs.fed.us/ne/newtown_ square/publications/technical_reports/pdfs/2002/gtrne297.pdf (last accessed 1 May 2003).
   Google Scholar
• Alberti , M. and Waddell , P. 2000 . An integrated urban development and ecological simulation model . Integrated Assessment , 1 (3) : 215 – 27 .
   Google Scholar
• Alcamo , J. , ed. 1994 . IMAGE 2.0: Integrated modeling of global climate change , Dordrecht : Kluwer Academic Publishers .
   Google Scholar
• Alonso , D. and Sole , R. V. 2000 . The DivGame simulator: A stochastic cellular automata model of rainforest dynamics . Ecological Modelling , 133 (1/2) : 131 – 41 .
   Web of Science ®Google Scholar
• Alonso , W. 1968 . Predicting best with imperfect data . Journal of the American Institute of Planners , 34 : 248 – 55 .
   Web of Science ®Google Scholar
• Andreoni , J. A. and Miller , J. H. 1993 . Rational cooperation in the finitely repeated prisoner's dilemma: Experimental evidence . Economic Journal , 103 (418) : 570 – 85 .
   Web of Science ®Google Scholar
• Anselin , L. 1988 . Spatial econometrics: Methods and models , Dordrecht : Kluwer Academic Press .
   Google Scholar
• Antona , M. , Bommel , P. , Bousquet , F. and Page , C. L. 2002 . “ Interactions and organization in ecosystem management: The use of multi-agent systems to simulate incentive environmental policies ” . In Third workshop on agent-based simulation , Edited by: Urban , C. 85 – 92 . Ghent, , Belgium : SCS-European Publishing House .
   Google Scholar
• Arifovic , J. 1994 . Genetic algorithm learning and the cobweb model . Journal of Economic Dynamics and Control , 18 : 3 – 28 .
   Web of Science ®Google Scholar
• Arifovic , J. 2001 . Evolutionary dynamics of currency substitution . Journal of Economic Dynamics and Control , 25 (3–4) : 395 – 417 .
   Web of Science ®Google Scholar
• Arthur , W. B. 1988 . “ Self-reinforcing mechanisms in economics ” . In The economy as an evolving complex system , Edited by: Anderson , P. W. , Arrow , K. J. and Pines , D. 9 – 33 . Redwood City, CA : Addison-Wesley .
   Google Scholar
• Arthur , W. B. 1991 . Designing economic agents that act like human agents: A behavioral approach to bounded rationality . American Economic Review, Papers and Proceedings , 81 (2) : 353 – 59 .
   Web of Science ®Google Scholar
• Arthur , W. B. 1993 . On designing economic agents that behave like human agents . Journal of Evolutionary Economics , 3 (1) : 1 – 22 .
   Google Scholar
• Arthur , W. B. 1994a . Inductive reasoning and bounded rationality . American Economic Review, Papers and Proceedings , 84 (2) : 406 – 11 .
   Web of Science ®Google Scholar
• Arthur , W. B. 1994b . “ Path dependence, self-reinforcement, and human learning ” . In Increasing returns and path dependence in the economy , Edited by: Arthur , W. B. 135 – 58 . Ann Arbor : University of Michigan Press .
   Google Scholar
• Arthur , W. B. , Durlaf , S. N. and Lane , D. , eds. 1997 . The economy as an evolving complex system II , Reading, MA : Addison-Wesley .
   Google Scholar
• Auyang , S. Y. 1998 . Foundations of complex systems theories: In economics, evolutionary biology, and statistical physics , New York : Cambridge University Press .
   Google Scholar
• Axelrod , R. M. 1984 . The evolution of cooperation , New York : Basic Books .
   Google Scholar
• Axelrod , R. M. 1986 . An evolutionary approach to norms . American Political Science Review , 80 : 1096 – 111 .
   Web of Science ®Google Scholar
• Axelrod , R. M. 1997a . “ Advancing the art of simulation in the social sciences ” . In Simulating social phenomena , Edited by: Conte , R. , Hegselmann , R. and Terna , P. 21 – 40 . Berlin : Springer-Verlag .
   Google Scholar
• Axelrod , R. M. 1997b . The complexity of cooperation. Agent-based models of competition and collaboration , Princeton, NJ : Princeton University Press .
   Google Scholar
• Axtell , R. L. and Epstein , J. M. 1994 . Agent-based modeling: Understanding our creations . The Bulletin of the Santa Fe Institute , : 28 – 32 .
   Google Scholar
• Baas , N. A. and Emmeche , C. 1997 . On emergence and explanation , Santa Fe, NM : Santa Fe Institute . Santa Fe Institute Publication 97-02-008.
   Google Scholar
• Baker , W. L. 1989 . A review of models in landscape change . Landscape Ecology , 2 (2) : 111 – 33 .
   Web of Science ®Google Scholar
• Balling , R. J. , Taber , J. T. , Brown , M. and Day , K. 1999 . Multiobjective urban planning using a genetic algorithm . ASCE Journal of Urban Planning and Development , 125 (2) : 86 – 99 .
   Web of Science ®Google Scholar
• Balmann , A. 1997 . Farm-based modelling of regional structural change . European Review of Agricultural Economics , 25 (1) : 85 – 108 .
   Web of Science ®Google Scholar
• Balmann , A. , Happe , K. , Kellermann , K. and Kleingarn. , A. 2002 . “ Adjustment costs of agri-environmental policy switchings: A multi-agent approach ” . In Complexity and ecosystem management: The theory and practice of multi-agent approaches , Edited by: Janssen , M. A. 127 – 57 . Northampton, MA : Edward Elgar Publishers .
   Google Scholar
• Balzter , H. , Braun , P. W. and Kohler , W. 1998 . Cellular automata models for vegetation dynamics . Ecological Modelling , 107 (2/3) : 113 – 25 .
   Web of Science ®Google Scholar
• Barreteau , O. , Bousquet , F. and Attonaty , J. M. 2001 . Role-playing games for opening the black box of multi-agent systems: method and lessons of its application to Senegal River Valley irrigated systems . Journal of Artificial Societies and Social Simulation , 4 (2) http://jasss.soc.surrey.ac.uk/4/2/5.html (last accessed 10 February 2003)
   Web of Science ®Google Scholar
• Batty , M. 2001 . Agent-based pedestrian modeling . Environment and Planning B , 28 (3) : 321 – 26 .
   Web of Science ®Google Scholar
• Batty , M. and Torrens , P. M. 2001 . Modelling complexity: The limits to prediction . Cybergeo , 21 http://www.cybergeo presse.fr/ectqg12/batty/articlemb.htm (last accessed 10 February 2003)
   Google Scholar
• Batty , M. and Xie , Y. 1994 . Modeling inside GIS. Part 1: Model structures, exploratory spatial data analysis, and aggregation . International Journal of Geographic Information Systems , 8 (3) : 291 – 307 .
   Web of Science ®Google Scholar
• Batty , M. , Xie , Y. and Sun , Z. 1999 . Modeling urban dynamics through GIS-based cellular automata . Computers, Environment, and Urban Systems , 23 (3) : 205 – 33 .
   Google Scholar
• Beckenbach , F. 1999 . “ Learning by genetic algorithms in economics ” . In Computational techniques for modelling learning in economics , Edited by: Brenner , T. 73 – 100 . Boston : Kluwer Academic Publishers .
   Google Scholar
• Benenson , I. 1998 . Multi-agent simulations of residential dynamics in the city . Computers, Environment, and Urban Systems , 22 (1) : 25 – 42 .
   Google Scholar
• Bennett , R. J. and Chorley , R. J. 1978 . Environmental systems: Philosophy, analysis, and control , Princeton, NJ : Princeton University Press .
   Google Scholar
• Berger , T. 2001 . Agent-based spatial models applied to agriculture: A simulation tool for technology diffusion, resource-use changes, and policy analysis . Agricultural Economics , 25 (2–3) : 245 – 60 .
   Web of Science ®Google Scholar
• Bian , L. 1997 . “ Multiscale nature of spatial data in scaling up environmental models ” . In Scale in remote sensing and GIS , Edited by: Quattrochi , D. A. and Goodchild , M. F. 13 – 26 . New York : Lewis Publishers .
   Google Scholar
• Bond , A. H. and Gasser , L. 1988 . Readings in distributed artificial intelligence , San Mateo, CA : Morgan and Kauffman .
   Google Scholar
• Bousquet , F. , Bakam , I. , Proton , H. and Page , C. L. 1998 . Cormas: Common-pool resources and multi-agent systems . Lecture Notes in Artificial Intelligence , 1416 : 826 – 37 .
   Google Scholar
• Bousquet , F. , Barreteau , F. O. , d'Aquino , P. , Etienne , M. , Boissau , S. , Auber , S. , Page , C. L. , Babin , D. and Castella , J. C. 2002 . “ Multi-agent systems and role games: An approach for ecosystem co-management ” . In Complexity and ecosystem management: The theory and practice of multi-agent approaches , Edited by: Janssen , M. A. 249 – 85 . Northampton, MA : Edward Elgar Publishers .
   Google Scholar
• Bower , J. and Bunn , D. W. 2000 . Model-based comparisons of pool and bilateral markets for electricity . Energy Journal , 21 (3) : 1 – 29 .
   Web of Science ®Google Scholar
• Brander , J. A. and Taylor , M. S. 1998 . The simple economics of Easter Island: A Ricardo-Malthus model of renewable resource use . The American Economic Review , 88 (1) : 119 – 38 .
   Web of Science ®Google Scholar
• Briassoulis , H. 2000 . “ Analysis of land-use change: Theoretical and modeling approaches ” . In The Web book of regional science , Edited by: Loveridge , Scott . Morgantown, MV : Regional Research Institute, West Virginia University . (http://www.rri.wvu.edu/regscweb.htm, last accessed 1 May 2003)
   Google Scholar
• Burrows , P. 1986 . Nonconvexity induced by external costs of production: Theoretical curio or policy dilemma? . Journal of Environmental Economics and Management , 13 : 101 – 28 .
   Web of Science ®Google Scholar
• Case , A. 1991 . Spatial patterns in household demand . Econometrica , 59 (4) : 953 – 65 .
   Web of Science ®Google Scholar
• Case , A. 1992 . Neighborhood influence and technological change . Regional Science and Urban Economics , 22 : 491 – 508 .
   Web of Science ®Google Scholar
• Castelfranchi , C. 1998 . Modelling social action for AI agents . Artificial Intelligence , 103 : 157 – 82 .
   Web of Science ®Google Scholar
• Casti , J. L. 1997 . Can you trust it? On the reliability of computer simulation models . Complexity , 2 (5) : 8 – 11 .
   Google Scholar
• Casti , J. L. 1999 . The computer as a laboratory . Complexity , 4 (5) : 12 – 14 .
   Google Scholar
• Cecchini , A. and Viola , F. 1990 . Eine stadtbausimulation (A stimulation of urban development) . Wissenschaftliche Zeitschrift der Hocheschule fur Architektur und Bauwesen , 36 : 159 – 162 .
   Google Scholar
• Chen , S. H. and Yeh , C. H. 2001 . Evolving traders and the business school with genetic programming: A new architecture of the agent-based artificial stock market . Journal of Economic Dynamics and Control , 25 (3–4) : 363 – 93 .
   Web of Science ®Google Scholar
• Chisholm , M. 1967 . General systems theory and geography . Transactions of the Institute of British Geographers , 42 : 45 – 52 .
   Google Scholar
• Chomitz , K. M. and Gray , D. A. 1996 . Roads, land use, and deforestation: A spatial model applied to Belize . The World Bank Economic Review , 10 (3) : 487 – 512 .
   Web of Science ®Google Scholar
• Chuvieco , E. 1993 . Integration of linear programming and GIS for land-use modeling . International Journal of Geographical Information Systems , 7 (1) : 71 – 83 .
   Web of Science ®Google Scholar
• Clarke , K. C. , Hoppen , S. and Gaydos , L. 1997 . A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area . Environment and Planning B , 24 : 247 – 61 .
   Web of Science ®Google Scholar
• Cliff , A. D. and Ord , J. K. 1973 . Spatial autocorrelation , London : Pion .
   Google Scholar
• Conte , R. and Gilbert , N. 1995 . “ Computer simulation for social theory ” . In Artificial societies: The computer simulation of social life , Edited by: Gilbert , N. and Conte , R. 1 – 15 . London : UCL Press .
   Google Scholar
• Conte , R. , Hegselmann , R. and Terna , P. , eds. 1997 . Simulating social phenomena , Berlin : Springer-Verlag .
   Google Scholar
• Costanza , R. , Sklar , F. H. and Day , J. W. Jr. 1986 . “ Modeling spatial and temporal succession in the Atchafalaya/Terrebonne Marsh/estuarine complex in South Louisiana ” . In Estuarine variability , Edited by: Wolfe , D. A. 387 – 404 . Orlando : Academic Press .
   Google Scholar
• Couclelis , H. 1985 . Cellular worlds: A framework for modeling micro-macro dynamics . Environment and Planning A , 17 : 585 – 96 .
   Web of Science ®Google Scholar
• Craig , W. J. , Harris , T. M. and Weiner , D. , eds. 2002 . Community participation and geographic information systems , London : Taylor and Francis .
   Google Scholar
• Cromley , R. G. and Hanink , D. M. 1999 . Coupling land-use allocation models with raster GIS . Journal of Geographic Systems , 1 : 137 – 53 .
   Google Scholar
• Dawid , H. 1999 . Adaptive learning by genetic algorithms: Analytical results and applications to economic models , Berlin : Springer-Verlag .
   Google Scholar
• de adman , P. J. and Schlager , E. 2002 . “ Models of individual decision making in agent-based simulation of common-pool-resource management institutions ” . In Integrating geographic information systems and agent-based modeling techniques for simulating social and ecological processes , Edited by: Gimblett , H. R. 137 – 69 . New York : Oxford University Press .
   Google Scholar
• de an , J. S. , Gumerman , G. J. , Epstein , J. M. , Axtell , R. L. , Swedlund , A. C. , Parket , M. T. and McCarroll , S. 2000 . “ Understanding Anasazi cultural change through agent-based modeling ” . In Dynamics in human and primate societies , Edited by: Kohler , T. A. and Gumerman , G. J. 179 – 206 . New York : Oxford University Press .
   Google Scholar
• Duffy , J. 2001 . Learning to speculate: Experiments with artificial and real agents . Journal of Economic Dynamics and Control , 25 (3–4) : 295 – 319 .
   Web of Science ®Google Scholar
• Eastman , R. 1999 . Guide to GIS and image processing , Worcester, MA : Clark University .
   Google Scholar
• Epstein , J. M. 1999 . Agent-based models and generative social science . Complexity , 4 (5) : 41 – 60 .
   Google Scholar
• Epstein , J. M. and Axtell , R. 1996 . Growing artificial societies: Social science from the ground up , Washington, DC : Brookings Institution Press .
   Google Scholar
• Ermentrout , G. B. and Edelstein-Keshet , L. 1993 . Cellular automata approaches to biological modeling . Journal of Theoretical Biology , 160 (1) : 97 – 113 . 8474249
   PubMed Web of Science ®Google Scholar
• Fogel , D. , Chellapilla , K. and Angeline , P. 1999 . Inductive reasoning and bounded rationality reconsidered . IEEE Transactions on Evolutionary Computation , 3 (2) : 142 – 43 .
   Web of Science ®Google Scholar
• Forrest , S. , ed. 1991 . Emergent computation: Self-organization, collective, and cooperative phenomena in natural and artificial computing networks , Cambridge, MA : MIT Press .
   Google Scholar
• Fowler , M. and Scott , K. 1999 . UML distilled: Applying the standard object modeling language , New York : Addison Wesley Longman .
   Google Scholar
• Geoghegan , J. , Pritchard , L. J. , Ogneva-Himmelberger , Y. , Roy Chowdury , R. , Sanderson , S. and Turner , B. L. II . 1998 . “Socializing the pixel” and “pixelizing the social” in land-use/cover change ” . In People and pixels , Edited by: Liverman , D. , Moran , E. F. , Rindfuss , R. R. and Stern , P. C. 51 – 69 . Washington, DC : National Research Council .
   Google Scholar
• Geoghegan , J. , Wainger , L. and Bockstael , N. 1997 . Spatial landscape indices in a Hedonic framework: An ecological economics analysis using GIS . Ecological Economics , 23 : 251 – 64 .
   Web of Science ®Google Scholar
• Gibson , C. C. , Ostrom , E. and Ahn , T. K. 2000 . The concept of scale and the human dimensions of global change: A survey . Ecological Economics , 32 : 217 – 39 .
   Web of Science ®Google Scholar
• Gigerenzer , G. and Selten , R. 2001 . Bounded rationality: The adaptive toolbox , Cambridge, MA : MIT Press .
   Google Scholar
• Gigerenzer , G. and Todd , P. 1999 . Simple heuristics that make us smart , Oxford : Oxford University Press .
   Google Scholar
• Gilbert , N. , Maltby , S. and Asakawa , T. 2002 . “ Participatory simulations for developing scenarios in environmental resource management ” . In Third workshop on agent-based simulation , Edited by: Urban , C. 67 – 72 . Ghent, , Belgium : SCS-European Publishing House .
   Google Scholar
• Gilbert , N. and Troitzsch , K. G. 1999 . Simulation for the social scientist , London : Open University Press .
   Google Scholar
• Giles , R. H. Jr. and Trani , M. K. 1999 . Key elements of landscape pattern measures . Environmental Management , 23 (4) : 477 – 81 . 10085380
   PubMed Web of Science ®Google Scholar
• Gilruth , P. T. , Marsh , S. E. and Itami , R. 1995 . A dynamic spatial model of shifting cultivation in the highlands of Guinea, West Africa . Ecological Modelling , 79 : 179 – 97 .
   Web of Science ®Google Scholar
• Gimblett , H. R. 2001 . Integrating geographic information systems and agent-based modeling techniques for simulating social and ecological processes , New York : Oxford University Press .
   Google Scholar
• Gordon , J. and Shortliffe , E. 1984 . “ The Dempster-Shafer theory of evidence: Rule-based expert systems ” . In The MYCIN experience of the Stanford Heuristic Programming Project , Edited by: Buchanan , B. and Shortliffe , E. 272 – 92 . Reading, MA : Addison Wesley .
   Google Scholar
• Grimble , R. and Wellard , K. 1997 . Stakeholder methodologies in natural resource management: A review of principles, contexts, experiences and opportunities . Agricultural Systems , 55 : 173 – 93 .
   Web of Science ®Google Scholar
• Gronewold , A. and Sonnenschein , M. 1998 . Event-based modelling of ecological systems with asynchronous cellular automata . Ecological Modelling , 108 (1) : 37 – 52 .
   Web of Science ®Google Scholar
• Hall , C. A. S. , Tian , H. , Qi , Y. , Pontius , G. and Cornell , J. 1995 . Modelling spatial and temporal patterns of tropical land-use change . Journal of Biogeography , 22 (4/5) : 753 – 57 .
   Web of Science ®Google Scholar
• Hare , M. , Medugno , D. , Heeb , J. and Pahl-Wostl , C. 2002 . “ An applied methodology for participatory model building of agent-based models for urban water management ” . In Third workshop on agent-based simulation , Edited by: Urban , C. 61 – 66 . Ghent, , Belgium : SCS-European Publishing House .
   Google Scholar
• Hegselmann , R. 1998 . “ Modeling social dynamics by cellular automata ” . In Computer modeling of social processes , Edited by: Liebrand , W. B. G. , Nowak , A. and Hegselmann , R. 37 – 64 . London : SAGE Publications .
   Google Scholar
• Herold , M. and Menz , G. 2001 . “ Landscape metric signatures (LMS) to improve urban land-use information derived from remotely sensed data ” . In A decade of trans-European remote sensing cooperation: Proceedings of the 20th EARSeL Symposium, Dresden, Germany, 14–16 June 2000 , Edited by: Buchroithner , M. F. 251 – 56 . Lisse, , The Netherlands : A. A. Balkema Publishers .
   Google Scholar
• Heuvelink , G. 2002 . Developments in statistical approaches to spatial uncertainty and its propagation . International Journal of Geographical Information Science , 16 (2) : 111 – 13 .
   Web of Science ®Google Scholar
• Hoffmann , M. , Kelley , H. and Evans. , T. 2002 . “ Simulating land-cover change in South-Central Indiana: An agent-based model of deforestation and afforestation ” . In Complexity and ecosystem management: The theory and practice of multi-agent approaches , Edited by: Janssen , M. A. 218 – 47 . Northampton, MA : Edward Elgar Publishers .
   Google Scholar
• Hogeweg , P. 1988 . Cellular automata as a paradigm for ecological modelling . Applied Mathematics and Computation , 27 (1) : 81 – 100 .
   Web of Science ®Google Scholar
• Holland , J. H. 1990 . Concerning the emergence of tag-mediated lookahead in classifier systems . Physica , 42D : 188 – 201 .
   Google Scholar
• Holland , J. H. 1998 . Emergence: From chaos to order , Reading, MA : Perseus Books .
   Google Scholar
• Howitt , R. E. 1995 . Positive mathematical programming . American Journal of Agricultural Economics , 77 (2) : 329 – 42 .
   Web of Science ®Google Scholar
• Irwin , E. and Bockstael , N. 2002 . Interacting agents, spatial externalities, and the evolution of residential land-use patterns . Journal of Economic Geography , 2 (1) : 31 – 54 .
   Web of Science ®Google Scholar
• Janssen , M. A. , ed. Forthcoming . Complexity and ecosystem management: The theory and practice of multi-agent approaches , Northampton, MA : Edward Elgar Publishers .
   Google Scholar
• Janssen , M. A. and Jager , W. 2000 . The human actor in ecological economic models . Ecological Economics , 35 (3) : 307 – 10 .
   Web of Science ®Google Scholar
• Janssen , M. A. and Ostrom. , E. Forthcoming . “ Adoption of a new regulation for the governance of common-pool resources by a heterogeneous population ” . In Inequality, cooperation, and environmental sustainability , Edited by: Baland , J. M. , Bardhan , P. and Bowles , S. New York : Russell Sage Foundation .
   Google Scholar
• Judd , K. L. 1997 . Computational economics and economic theory: Substitutes or complements . Journal of Economic Dynamics and Control , 21 (6) : 907 – 42 .
   Web of Science ®Google Scholar
• Judson , O. P. 1994 . The rise of the individual-based model in ecology . Trends in Ecology and Evolution , 9 (1) : 9 – 14 .
   PubMed Web of Science ®Google Scholar
• Kaimowitz , D. and Angelsen , A. 1998 . Economic models of tropical deforestation: A review , Jakarta : Centre for International Forestry Research .
   Google Scholar
• Kauffman , S. 1994 . “ Whispers from Carnot: The origins of order and principles of adaptation in complex nonequilibrium systems ” . In Complexity: Metaphors, models, and reality , Edited by: Cowan , G. , Pines , D. and Meltzer , D. 83 – 160 . New York : Addison Wesley .
   Google Scholar
• Kerridge , J. , Hine , J. and Wigan , M. 2001 . Agent-based modelling of pedestrian movements: The questions that need to be asked and answered . Environment and Planning B , 28 (3) : 327 – 42 .
   Web of Science ®Google Scholar
• Kirman , A. P. and Vriend , N. J. 2001 . Evolving market structure: An ACE model of price dispersion and loyalty . Journal of Economic Dynamics and Control , 25 (3–4) : 459 – 502 .
   Web of Science ®Google Scholar
• Kohler , T. A. 2000 . Dynamics in human and primate societies , New York : Oxford University Press .
   Google Scholar
• Kohler , T. A. , Kresl , J. , West , C. V. , Carr , E. and Wilshusen , R. H. 2000 . “ Be there then: A modeling approach to settlement determinants and spatial efficiency among late ancestral pueblo populations of the Mesa Verde region, U.S. Southwest ” . In Dynamics in human and primate societies , Edited by: Kohler , T. A. and Gumerman , G. J. 145 – 78 . New York : Oxford University Press .
   Google Scholar
• Kollman , K. , Miller , J. H. and Page , S. E. 1997 . Political institutions and sorting in a Tiebout model . American Economic Review , 87 (5) : 977 – 92 .
   Web of Science ®Google Scholar
• Krider , R. E. and Weinberg , C. B. 1997 . Spatial competition and bounded rationality: Retailing at the edge of chaos . Geographical Analysis , 29 (1) : 16 – 34 .
   Web of Science ®Google Scholar
• Laffont , J.-J . 1988 . Fundamentals of public economics , Cambridge, MA : MIT Press .
   Google Scholar
• Lam , N. and Quattrochi , D. A. 1992 . On the issues of scale, resolution, and fractal analysis in the mapping sciences . The Professional Geographer , 44 : 88 – 98 .
   Web of Science ®Google Scholar
• Lambin , E. F. 1994 . Modelling deforestation processes: A review , Luxemburg : European Commission .
   Google Scholar
• Lansing , J. S. and Kremer , J. N. 1993 . Emergent properties of Balinese water temple networks: Coadaptation on a rugged fitness landscape . American Anthropologist , 95 (1) : 97 – 114 .
   Web of Science ®Google Scholar
• LeBaron , B. 2001 . A builder's guide to agent-based financial markets . Quantitative Finance , 1 (2) : 254 – 61 .
   Web of Science ®Google Scholar
• Lee , R. G. , Flamm , R. , Turner , M. G. , Bledsoe , C. , Chandler , P. , DeFerrari , C. , Gottfried , R. , Naiman , R. J. , Schumaker , N. and Wear , D. 1992 . “ Integrating sustainable development and environmental vitality: A landscape ecology approach ” . In Watershed management: Balancing sustainability and environmental change , Edited by: Naiman , R. J. 499 – 521 . New York : Springer-Verlag .
   Google Scholar
• Leggett , C. G. and Bockstael , N. E. 2000 . Evidence of the effects of water quality on residential land prices . Journal of Environmental Economics and Management , 39 : 121 – 44 .
   Web of Science ®Google Scholar
• Levin , S. A. 1992 . The problem of pattern and scale in ecology . Ecology , 73 (6) : 1943 – 67 .
   Web of Science ®Google Scholar
• Li , B.-L . 2000 . Fractal geometry applications in description and analysis of patch patterns and patch dynamics . Ecological Modelling , 132 (1/2) : 33 – 50 .
   Web of Science ®Google Scholar
• Li , H. and Reynolds , J. F. 1997 . “ Modeling effects of spatial pattern, drought, and grazing on rates of rangeland degradation: A combined Markov and cellular automaton approach ” . In Scale in remote sensing and GIS , Edited by: Quattrochi , D. A. and Goodchild , M. F. 211 – 30 . New York : Lewis Publishers .
   Google Scholar
• Liebrand , W. B. G. , Nowak , A. and Hegselmann , R. , eds. 1988 . Computer modeling of social processes , London : Sage Publications .
   Google Scholar
• Ligtenberg , A. , Bregt , A. K. and van Lammeren , R. 2001 . Multi-actor-based land-use modelling: Spatial planning using agents . Landscape and Urban Planning , 56 : 21 – 33 .
   Web of Science ®Google Scholar
• Ligtenberg , A. , Bregt , A. K. , Wachowicz , M. , Beulens , A. and Kettenis , D. L. 2002 . “ Multi-agent land-use change simulation: Modeling actors perception ” . In Third workshop on agent-based simulation , Edited by: Urban , C. 93 – 98 . Ghent, , Belgium : SCS-European Publishing House .
   Google Scholar
• Lim , K. , Deadman , P. , Moran , E. , Brondizio , E. and McCracken , S. 2001 . “ Agent-based simulations of household decision-making and land-use change near Altamira, Brazil ” . In Integrating geographic information systems and agent-based modeling techniques for simulating social and ecological processes , Edited by: Gimblett , H. R. 137 – 69 . New York : Oxford University Press .
   Google Scholar
• Longley , P. , Higgs , G. and Martin , D. 1994 . The predictive use of GIS to model property valuations . International Journal of Geographical Information Systems , 8 (2) : 217 – 35 .
   Web of Science ®Google Scholar
• Ludeke , A. K. , Maggio , R. C. and Reid , L. M. 1990 . An analysis of anthropogenic deforestation using logistic regression and GIS . Journal of Environmental Management , 31 : 247 – 59 .
   Web of Science ®Google Scholar
• Luz , F. 2000 . Participatory landscape ecology—A basis for acceptance and implementation . Landscape and Urban Planning , 50 : 157 – 66 .
   Web of Science ®Google Scholar
• Lynam , T. 2002 . “ Complex and useful but certainly wrong: A multi-agent agro-ecosystem model from the semi-arid areas of Zimbabwe ” . In Complexity and ecosystem management: The theory and practice of multi-agent approaches , Edited by: Janssen , M. A. 188 – 217 . Northampton, MA : Edward Elgar Publishers .
   Google Scholar
• Lynam , T. , Bousquet , F. , D'Aquino , P. , Barreteau , O. , Page , C. L. , Chinembiri , F. and Mombeshora , B. 2002 . Adapting science to adaptive managers: Spidergrams, belief models, and multi-agent systems modeling . Conservation Ecology , 5 (2) http://www.consecol.org/vol5/iss2/art24/ (last accessed 10 February 2003)
   Google Scholar
• Mann , S. and Benwell , G. 1996 . The integration of ecological, neural, and spatial modelling for monitoring and prediction for semiarid landscapes . Computers and Geosciences , 22 (9) : 1003 – 12 .
   Web of Science ®Google Scholar
• Manson S. M. 2000. Agent-based dynamic spatial simulation of land-use/cover change in the Yucatán peninsula, Mexico. Paper presented at the Fourth International Conference on Integrating GIS and Environmental Modeling (GIS/EM4), Banff, Canada, 2–8 September.
   Google Scholar
• Manson , S. M. 2001 . Simplifying complexity: A review of complexity theory . Geoforum , 32 (3) : 405 – 14 .
   Web of Science ®Google Scholar
• Manson , S. M. Forthcoming . “ The SYPR integrative assessment model: Complexity in development ” . In Final frontiers: Understanding land change in the southern Yucatan peninsular region , Edited by: Turner , B. L. II , Foster , D. and Geoghegan , J. Oxford : Clarendon, Oxford University Press .
   Google Scholar
• Marimon , R. , McGratten , E. and Sargent , T. J. 1990 . Money as a medium of exchange in an economy with artificially intelligent agents . Journal of Economic Dynamics and Control , 14 : 329 – 73 .
   Web of Science ®Google Scholar
• Marks , R. E. 1992 . Breeding hybrid strategies: Optimal behavior for oligopolists . Journal of Evolutionary Economics , 2 : 17 – 38 .
   Google Scholar
• Mertens , B. and Lambin , E. F. 1997 . Spatial modelling of deforestation in southern Cameroon . Applied Geography , 17 (2) : 143 – 62 .
   Web of Science ®Google Scholar
• Miller , J. H. 1996 . The coevolution of automata in the repeated prisoner's dilemma . Journal of Economic Behavior and Organization , 29 : 87 – 112 .
   Web of Science ®Google Scholar
• Miller , J. H. 1998 . Active nonlinear tests (ANTs) of complex simulation models . Management Science , 44 (6) : 820 – 30 .
   Web of Science ®Google Scholar
• Miller , J. H. and Shubik , M. 1992 . Some dynamics of a strategic market game with a large number of agents , Santa Fe, NM : Santa Fe Institute . Santa Fe Institute Publication 92-11-057.
   Google Scholar
• Miyao , T. and Kanemoto , Y. 1987 . Urban dynamics and urban externalities , New York : Harwood Academic Publishers .
   Google Scholar
• Munroe D. Southworth J. Tucker C. 2001. The dynamics of land-cover change in western Honduras: Spatial autocorrelation and temporal variation. Paper presented at the American Agricultural Economics Association Annual Meeting, Chicago, IL, 5–8 August
   Google Scholar
• Nyarko , Y. , Woodford , M. and Yannelis , N. C. 1994 . Bounded rationality and learning: Introduction . Economic Theory , 4 : 811 – 20 .
   Google Scholar
• Openshaw , S. 1977 . A geographical study of scale and aggregation problems in region-building, partitioning, and spatial modelling . Transactions of the Institute of British Geographers , 2 : 459 – 72 . New Series
   Web of Science ®Google Scholar
• Openshaw , S. 1994 . Computational human geography: Towards a research agenda . Environment and Planning A , 26 : 499 – 508 .
   Web of Science ®Google Scholar
• Openshaw , S. 1995 . Human systems modelling as a new grand challenge area in science: What has happened to the science in social science? . Environment and Planning A , 27 : 159 – 64 .
   Web of Science ®Google Scholar
• Oreskes , N. , Shrader-Frechette , K. and Belitz , K. 1994 . Verification, validation, and confirmation of numerical models in the earth sciences . Science , 263 : 641 – 46 .
   PubMed Web of Science ®Google Scholar
• Ostrom , E. 1998 . A behavioral approach to the rational-choice theory of collective action . American Political Science Review , 92 : 1 – 22 .
   Web of Science ®Google Scholar
• O'Sullivan , D. 2001 . Graph-cellular automata: A generalised discrete urban and regional model . Environment and Planning B , 28 (5) : 687 – 706 .
   Web of Science ®Google Scholar
• Parker D. C. 2000. Edge-effect externalities: Theoretical and empirical implications of spatial heterogeneity. Ph. D. diss., Department of Agricultural and Resource Economics, University of California at Davis.
   Google Scholar
• Parker , D. C. , Berger , T. and Manson , S. M. 2002 . Agent-based models of land-use and land-cover change: Report and review of an international workshop, October 4–7, 2001, Irvine, California, USA , Bloomington, IN : Land Use and Cover Change Project . LUCC Report Series No. 6. http://www.indiana.edu/%7Eact/focus1/ABM_Report6.pdf (last accessed 1 May 2003)
   Google Scholar
• Parker D. C. Evans T. P. Meretsky V. 2001. Measuring emergent properties of agent-based land-use/land-cover models using spatial metrics. Paper presented at the Seventh Annual Conference of the International Society for Computational Economics, New Haven, CT, 28–29 June.
   Google Scholar
• Phelan , S. E. 1999 . Note on the correspondence between complexity and systems theory . Systemic Practice and Action Research , 12 (3) : 237 – 38 .
   Web of Science ®Google Scholar
• Plantinga , A. J. 1999 . The economics of land use: A bibliography , Orono, ME : The Agricultural and Forest Experiment Station, University of Maine . University of Maine Publication 744.
   Google Scholar
• Polhill , J. G. , Gotts , N. M. and Law , A. N. R. 2001 . Imitative versus nonimitative strategies in a land-use simulation . Cybernetics and Systems , 32 (1) : 285 – 307 .
   Web of Science ®Google Scholar
• Pontius , R. G. Jr . 2000 . Quantification error versus location error in comparison of categorical maps . Photogrammetric Engineering and Remote Sensing , 66 (8) : 1011 – 16 .
   Web of Science ®Google Scholar
• Pontius , R. G. and Schneider , L. 2001 . Land-use change model validation by a ROC method . Agriculture, Ecosystems, and Environment , 85 (1–3) : 239 – 48 .
   Web of Science ®Google Scholar
• Portugali , J. , Benenson , I. and Omer , I. 1997 . Spatial cognitive dissonance and sociospacial emergence in a self-organizing city . Environment and Planning B , 24 : 263 – 85 .
   Google Scholar
• Rabin , M. 1998 . Psychology and economics . Journal of Economic Literature , 36 (1) : 11 – 46 .
   Web of Science ®Google Scholar
• Rajan K. S. Shibasaki R. 2000. Land-use/cover changes and water resources—Experiences from AGENT-LUC Model. International Center for Disaster Mitigation Engineering (INCEDE), Institute of Industrial Science, University of Tokyo Publication 19. http://incede.iis.u-tokyo.ac.jp/reports/Report_19/Rajan.pdf (last accessed 5 February 2003).
   Google Scholar
• Ray , I. and Williams , J. 1999 . Evaluation of price policy in the presence of water theft . American Journal of Agricultural Economics , 81 (4) : 928 – 41 .
   Web of Science ®Google Scholar
• Riley , R. H. , Phillips , D. L. , Schuft , M. J. and Garcia , M. C. 1997 . Resolution and error in measuring land-cover change: Effects on estimating net carbon release from Mexican terrestrial ecosystems . International Journal of Remote Sensing , 18 (1) : 121 – 37 .
   Web of Science ®Google Scholar
• Robinson , J. 1994 . “ Land-use and land-cover projections ” . In Changes in land use and land cover: A global perspective , Edited by: Meyer , W. B. and Turner , B. L. II . 73 – 92 . Cambridge, , U.K. : Cambridge University Press .
   Google Scholar
• Rouchier , J. , Bousquet , F. , Requier-Desjardins , M. and Antona , M. 2001 . A multi-agent model for describing transhumance in North Cameroon: Comparison of different rationality to develop a routine . Journal of Economic Dynamics and Control , 25 : 527 – 59 .
   Web of Science ®Google Scholar
• Russell , S. and Norvig , P. 1995 . Artificial intelligence: A modern approach , Upper Saddle River, NJ : Prentice Hall .
   Google Scholar
• Sanchirico , J. N. and Wilen , J. E. 1999 . Bioeconomics of spatial exploitation in a patchy environment . Journal of Environmental Economics and Management , 37 (2) : 129 – 50 .
   Web of Science ®Google Scholar
• Sanders , L. , Pumain , D. , Mathian , H. , Guérin-Pace , F. and Bura , S. 1997 . SIMPOP—A multi-agent system for the study of urbanism . Environment and Planning B , 24 : 287 – 305 .
   Web of Science ®Google Scholar
• Saura , S. and Millan , M. 2001 . Sensitivity of landscape pattern metrics to map spatial extent . Photogrammetric Engineering and Remote Sensing , 67 (9) : 1027 – 36 .
   Web of Science ®Google Scholar
• Schelling , T. 1971 . Dynamic models of segregation . Journal of Mathematical Sociology , 1 : 143 – 86 .
   Web of Science ®Google Scholar
• Schelling , T. C. 1978 . Micromotives and macrobehavior , New York : W. W. Norton .
   Google Scholar
• Selten , R. 2001 . “ What is bounded rationality? ” . In Bounded rationality: The adaptive toolbox , Edited by: Gigerenzer , G. and Selten , R. 13 – 36 . Cambridge, MA : MIT Press .
   Google Scholar
• Silberberg , E. 1990 . The structure of economics: A mathematical analysis , New York : McGraw-Hill .
   Google Scholar
• Silvertown , J. , Holtier , S. , Johnson , J. and Dale , P. 1992 . Cellular automaton models of interspecific competition for space: The effect of pattern on process . Journal of Ecology , 80 (3) : 527 – 34 .
   Web of Science ®Google Scholar
• Simon , H. A. 1997 . “ Behavioral economics and bounded rationality ” . In Models of bounded rationality , Edited by: Simon , H. A. 267 – 433 . Cambridge, MA : MIT Press .
   Google Scholar
• Sklar , F. H. and Costanza , R. 1991 . “ The development of dynamic spatial models for landscape ecology: A review and prognosis ” . In Quantitative methods in landscape ecology , Edited by: Tuner , M. G. and Gardner , R. H. 239 – 88 . New York : Springer-Verlag .
   Google Scholar
• Southworth , F. , Dale , V. H. and O'Neill , R. V. 1991 . Contrasting patterns of land use in Rondônia, Brazil: Simulating the effects on carbon release . International Social Science Journal , 130 : 681 – 798 .
   Google Scholar
• Steins , N. A. and Edwards , V. M. 1999 . Platforms for collective action in multiple-use common-pool resources . Agriculture and Human Values , 16 : 241 – 55 .
   Google Scholar
• Takeyama , M. and Couclelis , H. 1997 . Map dynamics: Integrating cellular automata and GIS through geo-algebra . International Journal of Geographical Information Science , 11 (1) : 73 – 91 .
   Web of Science ®Google Scholar
• Tesfatsion , L. 2001 . Introduction to the special issue on agent-based computational economics . Journal of Economic Dynamics and Control , 25 (3/4) : 281 – 93 .
   Web of Science ®Google Scholar
• Thrift , N. 1999 . The place of complexity . Theory, Culture, and Society , 16 (3) : 31 – 69 .
   Web of Science ®Google Scholar
• Tobler , W. R. 1979 . “ Cellular geography ” . In Philosophy in geography , Edited by: Gale , S. and Olsson , G. 379 – 86 . Dordrecht : D. Reidel Publishing Company .
   Google Scholar
• Torrens , P. M. 2001 . Can geocomputation save urban simulation? Throw some agents into the mixture, simmer, and wait… , London : University College, London . Publication 32.
   Google Scholar
• Torrens , P. M. 2002 . “ Cellular automata and multi-agent systems as planning support tools ” . In Planning support systems in practice , Edited by: Geertman , S. S. and Stillwell , J. 205 – 22 . London : Springer-Verlag .
   Google Scholar
• Torrens , P. M. and O'Sullivan , D. 2001 . Cellular automata and urban simulation: Where do we go from here? . Environment and Planning B , 28 (2) : 163 – 68 .
   Web of Science ®Google Scholar
• Trame , A. , Harper , S. J. , Aycrigg , J. and Westervelt , J. 1997 . The Fort Hood avian simulation model: A dynamic model of ecological influences on two endangered species , Champaign, IL : U.S. Army Corps of Engineers. Engineer Research and Development Center, Construction Engineering Research Laboratory . CERL Publication 97/88. http://blizzard.gis.uiuc.edu/dsm_ FHASM_frame. htm (last accessed 5 February 2003)
   Google Scholar
• Turner B. L. I. Skole D. Sanderson S. Fischer G. Fresco L. Leemans R. Land-use and land-cover change: Science/research plan 1995. IGBP Report no. 35 and HDP Report no. 7. Stockholm and Geneva: International Geosphere-Biosphere Programme: A study of Global Change (IGBP) of the International Council of Scientific Unions, and Human Dimensions of Global Environmental Change Programme (HDP) of the International Social Science Council
   Google Scholar
• Turner , M. G. , Costanza , R. and Sklar , F. 1989 . Methods to evaluate the performance of spatial simulation models . Ecological Modelling , 48 (1/2) : 1 – 18 .
   Web of Science ®Google Scholar
• Tversky , A. and Kahneman , D. 1990 . “ Rational choice and the framing of decisions ” . In The limits of rationality , Edited by: Cook , K. S. and Levi , M. 60 – 89 . Chicago : University of Chicago Press .
   Google Scholar
• U. S. Environmental Protection Agency (EPA). 2000 . Projecting land-use change: A summary of models for assessing the effects of community growth and change on land-use patterns , Cincinnati, OH : U.S. Environmental Protection Agency . Office of Research and Development Publication EPA/600/R-00/098.
   Google Scholar
• Veldkamp , A. and Fresco , L. O. 1996 . CLUE: A conceptual model to study the conversion of land use and its effects . Ecological Modelling , 85 (2/3) : 253 – 70 .
   Web of Science ®Google Scholar
• Veldkamp , A. and Lambin , E. F. 2001 . Predicting land-use change . Agriculture, Ecosystems, and Environment , 85 (1–3) : 1 – 6 .
   Web of Science ®Google Scholar
• Verburg , P. H. , Schot , P. , Dijst , M. and Velkamp. , A. Forthcoming . Land-use change modeling: Current practice and research priorities . GeoJournal ,
   Google Scholar
• Waldrop , M. M. 1992 . Complexity: The emerging science at the edge of order and chaos , New York : Simon and Schuster .
   Google Scholar
• Weibull , J. W. 1995 . Evolutionary game theory , Cambridge, MA : MIT Press .
   Google Scholar
• Weinberg , M. , Kling , C. L. and Wilen , J. E. 1993 . Water markets and water quality . American Journal of Agricultural Economics , 75 (2) : 278 – 91 .
   Web of Science ®Google Scholar
• Weiss , G. , ed. 1999 . Multi-agent systems: A modern approach to distributed artificial intelligence , Cambridge, MA : MIT Press .
   Google Scholar
• Westervelt J. D. Hannon B. M. Levi S. Harper S. J. 1997. A dynamic simulation model of the desert tortoise (Gopherus agassizii) habitat in the Central Mojave Desert. CERL Publication 97/102. Champaign, IL : U.S. Army Corps of Engineers. Engineer Research and Development Center, Construction Engineering Research Laboratory. http://blizzard.gis.uiuc./edu/dsm_TORT_frame.htm (last accessed 5 February 2003)
   Google Scholar
• White , R. and Engelen , G. 1993 . Cellular automata and fractal urban form: A cellular modeling approach to the evolution of urban land-use patterns . Environment and Planning A , 25 (8) : 1175 – 99 .
   Web of Science ®Google Scholar
• White , R. and Engelen , G. 1994 . Cellular dynamics and GIS: Modelling spatial complexity . Geographical Systems , 1 (3) : 237 – 53 .
   Google Scholar
• White , R. and Engelen , G. 1997 . Cellular automata as the basis of integrated dynamic regional modelling . Environment and Planning B , 24 : 235 – 46 .
   Web of Science ®Google Scholar
• White , R. and Engelen , G. 2000 . High-resolution integrated modeling of spatial dynamics of urban and regional systems . Computers, Environment, and Urban Systems , 24 : 383 – 400 .
   Google Scholar
• Wooldridge , M. 1999 . “ Intelligent agents ” . In Multi-agent systems: A modern approach to distributed artificial intelligence , Edited by: Weiss , G. 27 – 77 . Cambridge, MA : MIT Press .
   Google Scholar
• Wu , F. 1998 . An experiment on the generic polycentricity of urban growth in a cellular city . Environment and Planning B , 25 : 731 – 52 .
   Web of Science ®Google Scholar
• Ziemelis , K. and Allen , L. 2001 . Nature insight: Complex systems . Nature , 410 : 241
   Web of Science ®Google Scholar