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MAS/LUCC Resource Page: Literature

Reports

  • Meeting the Challenge of Complexity” report
  • LUCC Report #6: "Agent-Based Models of Land-Use and Land-Cover Change"; Parker, Berger, Mason eds.
  • Bibliography ---- Download Endnote File   (Endnote Software Trial)

    Agarwal, C., G. M. Green, J. M. Grove, T. Evans, and C. Schweik. 2002. A review and assessment of land-use change models: Dynamics of space, time, and human choice. Burlington, VT: USDA Forest Service Northeastern Forest Research Station Publication NE-297. http://www.fs.fed.us/ne/newtown_square/publications/technical_reports/pdfs/2002/gtrne297.pdf

    Alberti, M., and P. Waddell. 2000. An integrated urban development and ecological simulation model. Integrated Assessment 1 (3): 215-227

    Alcamo, J., ed. 1994. IMAGE 2.0: Integrated Modeling of Global Climate Change. Kluwer Academic Publishers, Dordrecht, Germany

    Alexandridis, K. T., and B. C. Pijanowski. 2002. Multi agent-based environmental landscape (MABEL) -- an artifical intelligence simulation model: some early assessments. East Lansing, MI: Michigan State University Publication Staff Paper 2002-09.

    Alonso, D., and R. V. Sole. 2000. The DivGame Simulator: A stochastic cellular automata model of rainforest dynamics. Ecological Modelling 133 (1/2): 131-141

    Alonso, W. 1968. Predicting best with imperfect data. Journal of the American Institute of Planners 34: 248-255

    Andreoni, J., and J. H. Miller. 1995. Auctions with artificial adaptive agents. Games and Economic Behavior 10: 39-64

    Andreoni, J. A., and J. H. Miller. 1993. Rational cooperation in the finitely repeated Prisoner's Dilemma: Experimental evidence. Economic Journal 103 (418): 570-85

    Anselin, L. 1988. Spatial Econometrics: Methods and Models. Kluwer Academic Press, Dordrecht, Germany

    Antona, M., P. Bommel, F. Bousquet, and C. L. Page. 2002. Interactions and Organization in Ecosystem Management: The Use of Multi-Agent Systems to Simulate Incentive Environmental Policies. Pages 85-92 in C. Urban, ed. 3rd Workshop on Agent-Based Simulation. SCS-European Publishing House, Ghent, Belgium

    Arifovic, J. 1994. Genetic algorithm learning and the cobweb model. Journal of Economic Dynamics and Control 18: 3-28

    ______ 2001. Evolutionary dynamics of currency substitution. Journal of Economic Dynamics and Control 25 (3-4): 395-417

    Arthur, W. B. 1988. Self-reinforcing mechanisms in economics. Pages 9-33 in P. W. Anderson, K. J. Arrow, and D. Pines, eds. The Economy As an Evolving Complex System. Addison-Wesley, Redwood City, CA

    ______. 1991. Designing economic agents that act like human agents: A behavioral approach to bounded rationality. American Economic Review, Papers and Proceedings 81 (2): 353-359

    ______. 1993. On designing economic agents that behave like human agents. Journal of Evolutionary Economics 3 (1): 1-22

    ______. 1994. Inductive reasoning and bounded rationality. American Economic Review, Papers and Proceedings 84 (2): 406-411

    ______. 1994. Path dependence, self-reinforcement, and human learning. Pages 135-158 in W. B. Arthur, ed. Increasing Returns and Path Dependence in the Economy. University of Michigan Press, Ann Arbor

    Arthur, W. B., S. N. Durlaf, and D. Lane, eds. 1997. The Economy As an Evolving Complex System II. Addison-Wesley, Reading, MA

    Auyang, S. Y. 1998. Foundations of Complex Systems Theories: in economics, evolutionary biology, and statistical physics. Cambridge University Press, Cambridge, New York, Melbourne

    Axelrod, R. M. 1984. The Evolution of Cooperation. Basic Books, New York

    Axelrod, R. M. 1986. An evolutionary approach to norms. American Political Science Review 80: 1096-1111

    ______. 1997. Advancing the Art of Simulation in the Social Sciences. Pages 21-40 in R. Conte, R. Hegselmann, and P. Terna, eds. Simulating Social Phenomena. Springer, Berlin. http://www.personal.umich.edu/~axe/research/AdvancingArtofSim.pdf

    ______. 1997. The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press, Princeton

    Axtell, R. L., and J. M. Epstein. 1994. Agent-based modeling: Understanding our creations. The Bulletin of the Santa Fe Institute: 28-32

    Baas, N. A., and C. Emmeche. 1997. On Emergence and Explanation. Santa Fe, NM: Santa Fe Institute Publication 97-02-008.

    Baker, W. L. 1989. A review of models in landscape change. Landscape Ecology 2 (2): 111-133

    Balling, R. J., J. T. Taber, M. Brown, and K. Day. 1999. Multiobjective urban planning using a genetic algorithm. ASCE Journal of Urban Planning and Development 125 (2): 86-99

    Balmann, A. 1997. Farm-based modelling of regional structural change. European Review of Agricultural Economics 25 (1): 85-108

    Balmann, A., K. Happe, K. Kellermann, and A. Kleingarn. 2003. Adjustment costs of agri-environmental policy switchings: A multi-agent approach in M. A. Janssen, ed. Complexity and Ecosystem Management: The Theory and Practice of Multi-agent Approaches. Edward Elgar Publishers, Cheltenham, U.K.; Northampton, MA

    Balzter, H., P. W. Braun, and W. Kohler. 1998. Cellular automata models for vegetation dynamics. Ecological Modelling 107 (2/3): 113-125

    Banzhaf, W., P. Nordin, R. E. Keller, and F. D. Francone. 1998. Genetic Programming: An introduction. Morgan Kauffman Publishers, San Francisco, CA

    Barreteau, O., F. Bousquet, and J. M. Attonaty. 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

    Batty, M. 2001. Agent-based pedestrian modeling. Environment and Planning B 28 (3): 321-326

    Batty, M., and P. M. Torrens. 2001. Modelling complexity: The limits to prediction. Cybergeo (21). http://www.cybergeo.presse.fr/ectqg12/batty/articlemb.htm

    Batty, M., and Y. Xie. 1994. Modeling inside GIS: Part 1, Model structures, exploratory spatial data analysis and aggregation. International Journal of Geographic Information Systems 8 (3): 291-307

    ______. 1994. Modeling inside GIS: Part 2, Selecting and calibrating urban models using ARC-INFO. International Journal of Geographic Information Systems 8 (5): 451-470

    ______. 1994. From cells to cities. Environment and Planning B 21: S31-S34

    Batty, M., Y. Xie, and Z. Sun. 1999. Modeling urban dynamics through GIS-based cellular automata. Computers, Environment and Urban Systems 23 (3): 205-233

    Baumol, W. J., and W. E. Oates. 1988. The Theory of Environmental Policy. Cambridge University Press, Cambridge, U.K.

    Beckenbach, F. 1999. Learning by genetic algorithms in economics. Pages 73-100 in T. Brenner, ed. Computational Techniques for Modelling Learning in Economics. Kluwer Academic Publishers, Boston MA

    Bell, S. 1999. Landscape: Pattern, Perception and Process. Routledge, New York

    Benenson, I. 1998. Multiagent simulations of residential dynamics in the city. Computers, Environment and Urban Systems 22 (1): 25-42

    Bennett, R. J., and R. J. Chorley. 1978. Environmental Systems: Philosophy, Analysis, and Control. Princeton University Press, Princeton, NJ

    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): 245-260

    Berry, B. J. L., L. D. Kiel, and E. Elliot. 2002. Adaptive agents, intelligence, and emergent human organization: Capturing complexity through agent-based modeling. Proceedings of the National Academy of Sciences 99 (Supplement 3): 7178-7188

    Bian, L. 1997. Multiscale nature of spatial data in scaling up environmental models. Pages 13-26 in D. A. Quattrochi and M. F. Goodchild, eds. Scale in Remote Sensing and GIS. Lewis Publishers, New York

    Blume, L. E. 1996. Population Games. Santa Fe, NM: The Santa Fe Institute Publication 96-04-022.

    Bohn, H., and G. Gorton. 1993. Coordination failure, multiple equilibria, and economics institutions. Economica 60: 257-280

    Bond, A. H., and L. Gasser. 1988. Readings in Distributed Artificial Intelligence. Morgan and Kauffman, San Mateo, CA

    Bousquet, F., I. Bakam, H. Proton, and C. L. Page. 1998. Cormas: Common-pool resources and multi-agent systems. Lecture Notes in Artificial Intelligence 1416: 826-837

    Bousquet, F., F. O. Barreteau, P. d'Aquino, M. Etienne, S. Boissau, S. Auber, C. L. Page, D. Babin, and J. C. Castella. 2003. Multi-agent systems and role games: An approach for ecosystem co-management in M. A. Janssen, ed. Multi-Agent Approaches for Ecosystem Management. In preparation

    Bower, J., and D. W. Bunn. 2000. Model-based comparisons of pool and bilateral markets for electricity. Energy Journal 21 (3): 1-29

    Brander, J. A., and M. S. Taylor. 1998. The simple economics of Easter Island: A Ricardo-Malthus model of renewable resource use. The American Economic Review 88 (1): 119-138

    Briassoulis, H. 1999. Analysis of Land Use Change: Theoretical and Modeling Approaches. Regional Research Institute, West Virginia University. http://www.rri.wvu.edu/WebBook/Briassoulis/contents.htm

    Burrows, P. 1986. Nonconvexity induced by external costs of production: Theoretical curio or policy dilemma? Journal of Environmental Economics and Management 13: 101-128

    Case, A. 1991. Spatial patterns in household demand. Econometrica 59 (4): 953-965

    ______. 1992. Neighborhood influence and technological change. Regional science and urban economics 22: 491-508

    Castelfranchi, C. 1998. Modelling social action for AI agents. Artificial Intelligence 103: 157-182

    Casti, J. L. 1997. Can you trust it? On the reliability of computer simulation models. Complexity 2 (5): 8-11

    ______. 1999. The computer as a laboratory. Complexity 4 (5): 12-14

    Cecchini, A., and F. Viola. 1990. Eine Stadtbausimulation. Wissenschaftliche Zeitschrift der Hocheschule fur Architektur und Bauwesen 36: 159-162

    ______. 1990. A Simulation of Urban Development. Scientific Journal of the University of Architecture and Civil Engineering 36: 159-162

    Chen, S. H., and C. H. Yeh. 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

    Chisholm, M. 1967. General systems theory and geography. Transactions of the Institute of British Geographers 42: 45-52

    Chomitz, K. M., and D. A. Gray. 1996. Roads, land use, and deforestation: A spatial model applied to Belize. The World Bank Economic Review 10 (3): 487-512

    Chuvieco, E. 1993. Integration of linear programming and GIS for land-use modeling. International Journal of Geographical Information Systems 7 (1): 71-83

    Clarke, K. C., S. Hoppen, and L. Gaydos. 1997. A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environment and Planning B 24: 247-261

    Cliff, A. D., and J. K. Ord. 1973. Spatial Autocorrelation. Pion, London

    Conte, R., and N. Gilbert. 1995. Computer simulation for social theory. Pages 1-15 in N. Gilbert and R. Conte, eds. Artificial Societies: The Computer Simulation of Social Life. UCL Press, London

    Conte, R., R. Hegselmann, and P. Terna, eds. 1997. Simulating Social Phenomena. Springer, Berlin

    Cooper-Ellis, S., D. R. Foster, G. Carlton, and A. Lezberg. 1999. Forest response to catastrophic wind: Results from an experimental hurricane. Ecology 80 (8): 2683-2696

    Corlett, R. T., and I. M. Turner. 1997. Long-term survival in tropical forest remnants in Singapore and Hong Kong. Pages 333-346 in W. F. Laurance and R. O. Bierregaard, eds. Tropical Forest Remnants: Ecology, Management, and Conservation of Fragmented Communities. University of Chicago Press, Chicago, IL

    Costanza, R. 1989. Model goodness of fit: A multiple resolution procedure. Ecological Modelling 47: 199-215

    Costanza, R., F. H. Sklar, and J. W. Day, Jr. 1986. Modeling spatial and temporal succession in the Atchafalaya/Terrebonne Marsh/estuarine complex in South Louisiana. Pages 387-404 in D. A. Wolfe, ed. Estuarine Variability. Academic Press, Orlando, FL

    Couclelis, H. 1985. Cellular worlds: A framework for modeling micro-macro dynamics. Environment and Planning A 17: 585-596

    ______. 1986. A Theoretical Framework for Alternative Models of Spatial Decision and Behavior. Annals of the Association of American Geographers 76 (1): 95-113

    Craig, W. J., T. M. Harris, and D. Weiner, eds. 2002. Community Participation and Geographic Information Systems. Taylor and Francis, London

    Cromley, R. G., and D. M. Hanink. 1999. Coupling land-use allocation models with raster GIS. Journal of Geographic Systems 1: 137-153

    Crutchfield, J. P. 1994. Is Anything Ever New? Considering Emergence. Pages 515-531 in G. A. Cowan, D. Pines, and D. E. Meltzer, eds. Complexity: Metaphors, Models, and Reality. Addison-Wesley, Reading, Mass

    Dale, V., R. V. O'Neill, M. Pedlowski, and F. Southworth. 1993. Causes and effects of land-use change in central Rondônia, Brazil. Photogrammetric Engineering and Remote Sensing 59 (6): 997-1005

    Dale, V. H. 1998. Models provide understanding, not belief. Bulletin of Ecological Society of America 79: 169-170

    Dale, V. H., A. W. King, L. K. Mann, R. A. Washington-Allen, and R. A. McCord. 1998. Assessing land-use impacts on natural resources. Environmental Management 22 (2): 203-211

    Dale, V. H., R. V. O'Neill, F. Southworth, and M. Pedlowski. 1994. Modeling effects of land management in the Brazilian Amazon settlement of Rondônia. Conservation Biology 8 (1): 196-206

    Dale, V. H., S. M. Pearson, H. L. Offerman, and R. V. O'Neill. 1994. Relating patterns of land-use change to faunal biodiversity in the Central Amazon. Conservation Biology 8 (4): 1027-1036

    Dawid, H. 1999. Adaptive Learning by Genetic Algorithms: Analytical Results and Applications to Economic Models. Springer, Berlin

    Deadman, P., and E. Schlager. 2002. Agent-based simulations of household decision making and land use change near Altamira, Brazil in H. R. Gimblett, ed. Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Understanding Social and Ecological Processes. Oxford University Press

    Dean, J. S., G. J. Gumerman, J. M. Epstein, R. L. Axtell, A. C. Swedlund, M. T. Parket, and S. McCarroll. 2000. Understanding Anasazi cultural change through agent-based modeling. Pages 179-206 in T. A. Kohler and G. J. Gumerman, eds. Dynamics in Human and Primate Societies. Oxford University Press

    Duffy, J. 2001. Learning to speculate: Experiments with artificial and real agents. Journal of Economic Dynamics and Control 25 (3-4): 295-319

    Eastman, R. 1999. Guide to GIS and Image Processing. Clark University, Worcester, MA

    Edmonds, B. 2000. The use of models: Making MABS actually work. Pages 15-32 in S. Moss and P. Davidsson, eds. Multi Agent Based Simulation. Springer-Verlag

    Engelen, G., R. White, I. Unjee, and P. Drazan. 1995. Using cellular automata for integrated modelling of socio-environmental systems, environmental monitoring and assessment. Environmental Monitoring and Assessment 34: 203-214

    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.

    Epstein, H. E., and I. C. Burke. 1998. Plant effects on spatial and temporal patterns of nitrogen cycling in shortgrass steppe. Ecosystems 1 (4): 374-385

    Epstein, J. M. 1999. Agent-based models and generative social science. Complexity 4 (5): 41-60

    Epstein, J. M., and R. Axtell. 1996. Growing Artificial Societies: Social Science from the Ground Up. Brookings Institution Press, Washington, D.C.

    Ermentrout, G. B., and L. Edelstein-Keshet. 1993. Cellular automata approaches to biological modeling. Journal of Theoretical Biology 160 (1): 97-113

    Fogel, D., K. Chellapilla, and P. Angeline. 1999. Inductive reasoning and bounded rationality reconsidered. IEEE Transactions on Evolutionary Computation 3 2: 142-143

    Forman, R. T. T. 1995. Landscape Mosaics. Cambridge University Press, Cambridge

    Forman, R. T. T., and M. Godron. 1986. Landscape Ecology. John Wiley, New York

    Forrest, S., ed. 1991. Emergent Computation: Self-Organization, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks. MIT Press, Cambridge, MA

    Fowler, M., and K. Scott. 1999. UML Distilled: Applying the Standard Object Modeling Language. Addison Wesley Longman, New York

    Frohn, R. C. 1997. Remote Sensing for Landscape Ecology: New Metric Indicators for Monitoring, Modeling, and Assessment of Ecosystems. Lewis Publishers, Boca Raton, FL

    Geoghegan, J., N. Bockstael, K. Bell, and E. Irwin. 1996. An Ecological Economics Model of the Patuxent Watershed: The Use of GIS and Spatial Econometrics in Prediction. Proceedings: Seventh International G.I.S. Conference

    Geoghegan, J., L. J. Pritchard, Y. Ogneva-Himmelberger, R. Roy Chowdury, S. Sanderson, and B. L. Turner, II. 1998. "Socializing the pixel" and "pixelizing the social" in land-use/cover change. Pages 51-69 in D. Liverman, E. F. Moran, R. R. Rindfuss, and P. C. Stern, eds. People and Pixels. National Research Council, Washington, DC

    Geoghegan, J., L. Wainger, and N. Bockstael. 1997. Spatial landscape indices in a Hedonic framework: An ecological economics analysis using GIS. Ecological Economics 23: 251-264

    Gibson, C. C., E. Ostrom, and T. K. Ahn. 2000. The concept of scale and the human dimensions of global change: A survey. Ecological Economics 32: 217-239

    Gigerenzer, G., and R. Selten. 2001. Bounded Rationality: The Adaptive Toolbox. MIT Press, Cambridge, MA

    Gigerenzer, G., and P. Todd. 1999. Simple Heuristics that Make Us Smart. Oxford University Press, Oxford

    Gilbert, N., and J. Doran, eds. 1994. Simulating Societies: The Computer Simulation of Social Phenomena. UCL Press, London

    Gilbert, N., S. Maltby, and T. Asakawa. 2002. Participatory Simulations for Developing Scenarios in Environmental Resource Management. Pages 67-72 in C. Urban, ed. 3rd Workshop on Agent-Based Simulation. SCS-European Publishing House, Ghent, Belgium

    Gilbert, N., and K. G. Troitzsch. 1999. Simulation for the Social Scientist. Open University Press, London, UK

    Giles, R. H., Jr., and M. K. Trani. 1999. Key elements of landscape pattern measures. Environmental Management 23 (4): 477-481

    Gilruth, P. T., S. E. Marsh, and R. Itami. 1995. A dynamic spatial model of shifting cultivation in the highlands of Guinea, West Africa. Ecological Modelling 79: 179-197

    Gimblett, H. R., ed. 2001. Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Understanding Social and Ecological Processes. Oxford University Press, Oxford, U.K.

    Gintis, H. 1997. A Markov Model of Production, Trade, and Money: Theory and Artificial Life Simulation. Santa Fe, NM: The Santa Fe Institute Publication 97-01-006.

    Gordon, J., and E. Shortliffe. 1984. The Dempster-Shafer theory of evidence: Rule based expert systems. Pages 272-292 in B. Buchanan and E. Shortliffe, eds. The MYCIN Experience of the Stanford Heuristic Programming Project. Addison Wesley, Reading, MA

    Gosselink, J. G., and L. C. Lee. 1989. Cumulative impact assessment in bottomland hardwood forests. Wetlands 9: 83-174

    Grimble, R., and K. Wellard. 1997. Stakeholder methodologies in natural resource management: a review of principles, contexts, experiences and opportunities. Agricultural Systems 55: 173-193

    Gronewold, A., and M. Sonnenschein. 1998. Event-based modelling of ecological systems with asynchronous cellular automata. Ecological Modelling 108 (1): 37-52

    Hall, C. A. S., H. Tian, Y. Qi, G. Pontius, and J. Cornell. 1995. Modelling spatial and temporal patterns of tropical land use change. Journal of Biogeography 22 (4/5): 753-757

    Hare, M., D. Medugno, J. Heeb, and C. Pahl-Wostl. 2002. An Applied Methodology for Participatory Model Building of Agent-Based Models for Urban Water Management. Pages 61-66 in C. Urban, ed. 3rd Workshop on Agent-Based Simulation. SCS-European Publishing House, Ghent, Belgium

    Hargis, C. D., J. A. Bissonette, and J. L. David. 1998. The behavior of landscape metrics commonly used in the study of habitat fragmentation. Landscape Ecology 13 (3): 167-186

    Hegselmann, R. 1998. Modeling social dynamics by cellular automata. Pages 37-64 in W. B. G. Liebrand, A. Nowak, and R. Hegselmann, eds. Computer Modeling of Social Processes. SAGE Publications, London

    Herold, M., and G. Menz. 2001. Landscape metric signatures (LMS) to improve urban landuse information derived from remotely sensed data. Paper presented in the Proceedings of the 20th EARSeL Sympsium Remote Sensing in the 22st Century: A Decade of Trans-European Remote Sensing Cooperation, 14-16 June 2000, June 2001, Dresden, Germany. http://www.geog.ucsb.edu/~mherold/publication.html

    Heuvelink, G. 2002. Developments in statistical approaches to spatial uncertainty and its propagation. International Journal of Geographical Information Science 16 (2): 111 - 113

    Hobbs, N. T. 1996. Modification of ecosystems by ungulates. Journal of Wildlife Management 60 (4): 695-713

    Hobbs, R. 1997. Future landscapes and the future of landscape ecology. Landscape and Urban Planning 37 (1-2): 1-9

    Hoffmann, M., H. Kelley, and T. Evans. 2003. Simulating land-cover change in South-Central Indiana: An agent-based model of deforestation and afforestation in M. A. Janssen, ed. Complexity and Ecosystem Management: The Theory and Practice of Multi-Agent Approaches. Edward Elgar Publishers, Cheltenham, U.K.; Northampton, MA

    Hogeweg, P. 1988. Cellular automata as a paradigm for ecological modelling. Applied Mathematics and Computation 27 (1): 81-100

    Holland, J. H. 1990. Concerning the emergence of tag-mediated lookahead in classifier systems. Physica 42D: 188-201

    Holland, J. H. 1992. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence. MIT Press, Cambridge, MA

    ______. 1993. The Effect of Labels (Tags) on Social Interactions. Santa Fe Institute Working Paper, Santa Fe, NM.

    ______. 1995. Hidden Order: How Adaptation Builds Complexity. Addison-Wesley, Reading, MA

    ______. 1998. Emergence: From Chaos to Order. Perseus Books, Reading, MA

    Holland, J. H., and J. H. Miller. 1991. Artificial adaptive agents in economic theory. American Economic Review 81 (2): 365-71

    Hong, L., and S. E. Page. 2001. Problem solving by heterogeneous agents. Journal of Economic Theory 97 (1): 123-63

    Hotelling, H. 1929. Stability in competition. The Economic Journal: 41-57

    Howitt, R. E. 1995. Positive mathematical programming. American Journal of Agricultural Economics 77 (2): 329-42

    Irwin, E., and N. Bockstael. 2002. Interacting agents, spatial externalities, and the evolution of residential land use patterns. Journal of Economic Geography 2 (1): 31-54

    Jaeger, J. 2000. Landscape division, splitting index, and effective mesh size: New measures of landscape fragmentation. Landscape Ecology 15 (2): 115-130

    Janssen, M. A., ed. 2003. Complexity and Ecosystem Management: The Theory and Practice of Multi-Agent Approaches. Edward Elgar Publishers, Cheltenham, U.K.; Northampton, MA

    Janssen, M. A., and W. Jager. 2000. The human actor in ecological economic models. Ecological Economics 35 (3): 307-310

    Janssen, M. A., and E. Ostrom. Forthcoming. Adoption of a New Regulation for the Governance of Common-Pool Resources by a Heterogeneous Population in J. M. Baland, P. Bardhan, and S. Bowles, eds. Inequality, Cooperation and Environmental Sustainability

    Judd, K. L. 1997. Computational Economics and Economic Theory: Substitutes or Complements. Journal of Economic Dynamics and Control 21 (6): 907-942

    Judson, O. P. 1994. The rise of the individual-based model in ecology. Trends in Ecology and Evolution 9 (1): 9-14

    Kaimowitz, D., and A. Angelsen. 1998. Economic Models of Tropical Deforestation: A Review. Centre for International Forestry Research, Jakarta, Indonesia

    Kamien, M., and N. L. Schwartz. 1991. Dynamic Optimization: The Caculus of Variations and Optimal Control in Economics and Management. Elsevier, Amsterdam

    Kauffman, S. 1994. Whispers From Carnot: The Origins of Order and Principles of Adaptation in Complex Nonequilibrium Systems. Pages 83-160 in G. Cowan, D. Pines, and D. Meltzer, eds. Complexity: Metaphors, Models, and Reality. Addison Wesley, New York

    Kerridge, J., J. Hine, and M. Wigan. 2001. Agent-based modelling of pedestrian movements: The questions that need to be asked and answered. Environment and Planning B 28 (3): 327-342

    Kirman, A. P., and N. J. Vriend. 2001. Evolving market structure: An ACE model of price dispersion and loyalty. Journal of Economic Dynamics and Control 25 (3-4): 459-502

    Klepper, O. 1997. Multivariate aspects of model uncertainty analysis: Tools for sensitivity analysis and calibration. Ecological Modelling 101 (1): 1-13

    Kohler, T. A. 2000. Dynamics in Human and Primate Societies. Oxford University Press, New York and Oxford

    Kohler, T. A., J. Kresl, C. V. West, E. Carr, and R. H. Wilshusen. 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. Pages 145-178 in T. A. Kohler and G. J. Gumerman, eds. Dynamics in Human and Primate Societies. Oxford Univeristy Press, New York and Oxford

    Kollman, K., J. H. Miller, and S. E. Page. 1997. Political institutions and sorting in a Tiebout model. American Economic Review 87 (5): 977-92

    Koza, J. 1992. Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge, MA

    Krider, R. E., and C. B. Weinberg. 1997. Spatial competition and bounded rationality: retailing at the edge of chaos. Geographical Analysis 29 (1): 16-34

    Krugman, P. 1991. Geography and Trade. MIT Press, Cambridge, MA

    ______. 1995. Development, Geography, and Economic Theory. MIT Press, Cambridge, MA

    Laffont, J.-J. 1988. Introduction. Pages 1-4. Fundamentals of Public Economics. MIT Press, Cambridge, MA

    Lam, N., and D. A. Quattrochi. 1992. On the issues of scale, resolution, and fractal analysis in the mapping sciences. Professional Geographer 44: 88-98

    Lambin, E. F. 1994. Modelling Deforestation Processes: A Review. European Commission, Luxemburg

    Landis, J. 1994. The California Urban Futures Model: A new generation of metropolitan simulation models. Environment and Planning B: Planning and Design 21 (4): 399-420

    ______. 1995. Imagining land use futures: Applying the California Urban Futures Model. Journal of the American Planning Association 61 (4): 438-457

    Landis, J., and M. Zhang. 1998. The second generation of the California Urban Futures Model: Part 1, Model logic and theory. Environment and Planning B: Planning and Design 25 (5): 657-666

    ______. 1998. The second generation of the California Urban Futures Model. Part 2, Specification and calibration results of the land-use change submodel. Environment and Planning B: Planning and Design 25 (6): 795-824

    Lansing, J. S. 1993. Priests and Programmers: Technologies of Power in the Engineered Landscape of Bali. Princeton University Press, Princeton, NJ

    Lansing, J. S., and J. N. Kremer. 1993. Emergent properties of Balinese water temple networks: Coadaptation on a rugged fitness landscape. American Anthropologist 95 (1): 97-114

    ______. 1993. Emergent Properties of Balinese Water Temple Networks: Coadaptation on a Rugged Fitness Landscape. Pages 201-224 in C. G. Langton, ed. Artificial Life III. Addison-Wesley, Reading, MA

    LeBaron, B. 2001. A builder's guide to agent-based financial markets. Quantitative Finance 1 (2): 254-61

    Lee, R. G., R. Flamm, M. G. Turner, C. Bledsoe, P. Chandler, C. DeFerrari, R. Gottfried, R. J. Naiman, N. Schumaker, and D. Wear. 1992. Integrating sustainable development and environmental vitality: A landscape ecology approach. Pages 499-521 in R. J. Naiman, ed. Watershed Management: Balancing sustainability and environmental change. Springer-Verlag, New York

    Leggett, C. G., and N. E. Bockstael. 2000. Evidence of the effects of water quality on residential land prices. Journal of Environmental Economics and Management 39: 121-144

    Levin, S. A. 1992. The problem of pattern and scale in ecology. Ecology 73 (6): 1943-1967

    Li, B.-L. 2000. Fractal geometry applications in description and analysis of patch patterns and patch dynamics. Ecological Modelling 132 (1 / 2): 33-50

    Li, H., and J. F. Reynolds. 1997. Modeling effects of spatial pattern, drought, and grazing on rates of rangeland degradation: A combined Markov and cellular automaton approach. Pages 211-230 in D. A. Quattrochi and M. F. Goodchild, eds. Scale in Remote Sensing and GIS. Lewis Publishers, New York

    Liebrand, W. B. G., A. Nowak, and R. Hegselmann, eds. 1988. Computer Modeling of Social Processes. SAGE Publications, London

    Ligtenberg, A., A. K. Bregt, and R. v. Lammeren. 2001. Multi-actor-based land use modelling: spatial planning using agents,. Landscape and Urban Planning 56: 21-33

    Ligtenberg, A., A. K. Bregt, M. Wachowicz, A. Beulens, and D. L. Kettenis. 2002. Multi-agent Land Use Change Simulation: Modeling Actors Perception. Pages 93-98 in C. Urban, ed. 3rd Workshop on Agent-Based Simulation. SCS-European Publishing House, Ghent, Belgium

    Lim, K., P. Deadman, E. Moran, E. Brondizio, and S. McCracken. 2001. Agent-based simulations of household decision making and land use change near Altamira, Brazil in H. R. Gimblett, ed. Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Understanding Social and Ecological Processes. Oxford University Press, Oxford, U.K.

    Longley, P., G. Higgs, and D. Martin. 1994. The predictive use of GIS to model property valuations. International Journal of Geographical Information Systems 8 (2): 217-235

    Ludeke, A. K., R. C. Maggio, and L. M. Reid. 1990. An analysis of anthropogenic deforestation using logistic regression and GIS. Journal of Environmental Management 31: 247-259

    Luz, F. 2000. Participatory landscape ecology - a basis for acceptance and implementation. Landscape and Urban Planning 50: 157 - 166

    Lynam, T. 2003. Complex and useful but certainly wrong: A multi-agent agro-ecosystem model from the semi-arid areas of Zimbabwe in M. A. Janssen, ed. Complexity and Ecosystem Management: The Theory and Practice of Multi-Agent Approaches. Edward Elgar Publishers, Cheltenham, U.K.; Northampton, MA

    Lynam, T., F. Bousquet, P. D'Aquino, O. Barreteau, C. L. Page, F. Chinembiri, and B.Mombeshora. 2002. Adapting science to adaptive managers: spidergrams, belief models,and multi-agent systems modeling. Conservation Ecology 5 (2). http://www.consecol.org/Journal/vol5/iss2/art24/

    Macy, M., and J. Skvoretz. 1998. Evolution of trust and cooperation between strangers: A computational model. American Sociological Review 63: 638-660

    Mann, S., and G. Benwell. 1996. The integration of ecological, neural, and spatial modelling for monitoring and prediction for semi-arid landscapes. Computers and Geosciences 22 (9): 1003-1012

    Manson, S. 2001. Simplifying complexity: A review of complexity theory. Geoforum 32 (3): 405-414

    Manson, S. M. 2000. Agent-based dynamic spatial simulation of land-use/cover change in the Yucatán peninsula, Mexico. Paper presented in the Fourth International Conference on Integrating GIS and Environmental Modeling (GIS/EM4), Banff, Canada. http://www.colorado.edu/research/cires/banff/upload/337/

    ______. Forthcoming. The SYPR integrative assessment model: Complexity in development in B. L. Turner II, D. Foster, and J. Geoghegan, eds. Final Frontiers: Understanding Land Change in the Southern Yucatan Peninsular Region. Claredon Oxford University Press, Oxford, UK

    Marimon, R., E. McGratten, and T. J. Sargent. 1990. Money as a medium of exchange in an economy with artificially intelligent agents. Journal of Economic Dynamics and Control 14: 329-373

    Marks, R. E. 1992. Breeding hybrid strategies: Optimal behavior for oligopolists. Journal of Evolutionary Economics 2: 17-38

    McGarigal, K., and B. J. Marks. 1994. FRAGSTATS: Spatial Pattern Analysis Program for Quantifying Landscape Structure. Portland, OR: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station Publication Gen. Tech. Rep. PNW-GTR-351.

    McIntyre, N. E., and J. A. Wiens. 2000. A novel use of the lacunarity index to discern landscape function. Landscape Ecology 15 (4): 313-321

    Mertens, B., and E. F. Lambin. 1997. Spatial modelling of deforestation in southern Cameroon. Applied Geography 17 (2): 143-162

    Miller, J. H. 1996. The coevolution of automata in the repeated Prisoner's Dilemma. Journal of Economic Behavior and Organization 29: 87-112

    ______. 1998. Active nonlinear tests (ANTs) of complex simulation models. Management Science 44 (6): 820-30. http://pubsonline.informs.org/main/index.html?user=651

    Miller, J. H., and M. Shubik. 1992. Some Dynamics of a Strategic Market Game with a Large Number of Agents. Santa Fe, NM: Santa Fe Institute Publication 92-11-057.

    Miyao, T., and Y. Kanemoto. 1987. Urban Dynamics and Urban Externalities. Harwood Academic Publishers, New York

    Motloch, J. 2001. Introduction to Landscape Design. John Wiley, New York

    Munroe, D., J. Southworth, and C. Tucker. 2001. The Dynamics of Land-Cover Change in Western Honduras: Spatial Autocorrelation and Temporal Variation. Paper presented in the American Agricultural Economics Association Annual Meeting, August 5-8, Chicago, IL.

    Nelson, A. 2001. Analysing data across geographic scales in Honduras: Detecting levels of organisation within systems. Agriculture, Ecosystems and Environment 85 (1-3): 239-248

    Nepstad, D. C., P. R. Moutinho, C. Uhl, I. C. Vieira, and J. M. C. d. Silva. 1996. The ecological importance of forest remnants in an eastern Amazonia frontier landscape. Pages 133-150 in J. Schelhas and R. Greenberg, eds. Forest Patches in Tropical Landscapes. Island Press, Washington, D.C.

    Nyarko, Y., M. Woodford, and N. C. Yannelis. 1994. Bounded rationality and learning: Introduction. Economic Theory 4: 811-820

    O'Sullivan, D. 2001. Graph-cellular automata: a generalised discrete urban and regional model. Environment and Planning B 28 (5): 687-706

    Ogneva-Himmelberger, Y. A. 1998. Exploring Empirical Diagnostic Modeling of Land-Use/Land-Cover: An Example from Southern Yucatan Peninsular Region. Clark University, Worcester, MA

    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 New Series 2: 459-472

    ______. 1994. Computational human geography: Towards a research agenda. Environment and Planning A 26: 499-508

    ______. 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: 159-164

    Oreskes, N., K. Shrader-Frechette, and K. Belitz. 1994. Verification, validation, and confirmation of numerical models in the earth sciences. Science 263: 641-646

    Ostrom, E. 1998. A behavioral approach to the rational choice theory of collective action. American Political Science Review 92: 1-22

    Otter, H. S., A. van der Veen, and H. J. Vriend. 2001. Abloom: Location behaviour, spatial patterns,

    and agent-based modelling. Journal of Artificial Societies and Social Simulation 4 (4): online

    Page, S. E. 1997. On incentives and updating in agent based models. Computational Economics 10 (1): 67-87

    ______. 1999. On the emergence of cities. Journal of urban economics 45 (1): 184-201

    Parker, D. C. 1999. Landscape Outcomes in a Model of Edge-Effect Externalities: A Computational Economics Approach. Santa Fe, NM: Santa Fe Institute Publication 99-07-051 E. http://www.santafe.edu/sfi/publications/Working-Papers/99-07-051.pdf

    ______. 2000. Edge-effect externalities: Theoretical and empirical implications of spatial heterogeneity. Ph D. diss. University of California at Davis, Davis, CA

    Parker, D. C., T. Berger, and S. M. Manson. 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 Publication CCR-3. https://csiss.org/maslucc/ABM-LUCC.htm

    ______. 2002. Agent-Based Models of Land-Use/Land-Cover Change: Report and Review of an International Workshop. Bloomington, IN: LUCC Focus 1 Publication 6. http://www.indiana.edu/~act/focus1/FinalABM11.7.02.pdf

    Parker, D. C., T. P. Evans, and V. Meretsky. 2001. Measuring emergent properties of agent-based land-use/land-cover models using spatial metrics. Paper presented in the Seventh Annual Conference of the International Society for Computational Economics, June 28-29th, New Haven, CT.

    Parker, D. C., S. M. Manson, M. A. Janssen, M. Hoffmann, and P. Deadman. 2001. Multi-Agent Systems for the Simulation of Land-Use and Land-Cover Change: A Review. Bloomington: CIPEC, Indiana University Publication CW-01-05.

    ______. 2003. Multi-Agent Systems for the Simulation of Land-Use and Land-Cover Change: A Review. Annals of the Association of American Geographers 93 (2). https://csiss.org/events/other/agent-based/papers/maslucc_overview.pdf

    Parker, D. C., and V. Meretsky. Forthcoming. Measuring Pattern Outcomes in an Agent-Based Model of Edge-Effect Externalities Using Spatial Metrics. Agriculture, Ecosystems and Environment. http://php.indiana.edu/~dawparke/papers/aee_final/parker_text.pdf

    Pearson, S. M., M. G. Turner, and J. B. Drake. 1999. Landscape change and habitat availability in the Southern Appalachian Highlands and Olympic Peninsula. Ecological Applications 9 (4): 1288-1304

    Phelan, S. E. 1999. Note on the correspondence between complexity and systems theory. Systemic Practice and Action Research 12 (3): 237-238

    Phipps, M. 1989. Dynamical behavior of cellular automata under the constraint of neighborhood coherence. Geographical Analysis 21 (3): 197-215

    Plantinga, A. J. 1999. The Economics of Land Use: A Bibliography. Orono, ME: The Agricultural and Forest Experiment Station, University of Maine Publication 744.

    Polhill, J. G., N. M. Gotts, and A. N. R. Law. 2001. Imitative versus nonimitative strategies in a land-use simulation. Cybernetics and Systems 32 (1): 285-307

    Pontius, R. G., Jr. 2000. Quantification error versus location error in comparison of categorical maps. Photogrammetric Engineering and Remote Sensing 66 (8): 1011-1016

    Pontius, R. G., and L. Schneider. 2001. Land-use change model validation by a ROC method. Agriculture, Ecosystems and Environment 85 (1-3): 239-248

    Portugali, J., I. Benenson, and I. Omer. 1997. Spatial cognitive dissonance and sociospacial emergence in a self-organizing city. Environment and Planning B 24: 263-285

    Rabin, M. 1998. Psychology and economics. Journal of Economic Literature 36 (1): 11-46

    Rajan, K. S., and R. Shibasaki. 2000. Land Use/Cover Changes and Water Resources - Experiences from AGENT-LUC Model. Tokyo, Japan: 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

    Rand, W., M. Zellner, S. E. Page, R. Riolo, D. G. Brown, and L. E. Fernandez. 2002. The Complex Interaction of Agents and Environments: An Example in Urban Sprawl. Paper presented in the Agent 2002, Chicago, IL. http://agent2002.anl.gov/

    Ray, I., and J. Williams. 1999. Evaluation of price policy in the presence of water theft. American Journal of Agricultural Economics 81 (4): 928-941

    Rescher, N. 1998. Predicting the Future: An Introduction to the Theory of Forecasting. State University of New York Press, Albany, NY

    Riley, R. H., D. L. Phillips, M. J. Schuft, and M. C. Garcia. 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): 121-137

    Riolo, R. 1997. The Effects of Tag-Mediated Selection of Partners in Evolving Populations Playing the Iterated Prisoner's Dilemma. Santa Fe Institute Working Paper, Santa Fe, NM.

    Ritters, K. H., R. V. O'Neill, C. T. Hunsaker, J. D. Wickham, D. H. Yankee, S. P. Timmins, K. B. Jones, and B. L. Jackson. 1995. A factor analysis of landscape pattern and structure metrics. Landscape Ecology 10: 23-29

    Robinson, J. 1994. Land-use and land-cover projections. Pages 73-92 in W. B. Meyer and B. L. Turner, II, eds. Changes in Land-Use and Land-Cover: A Global Perspective. Cambridge University Press, Cambridge, U.K.

    Rouchier, J., F. Bousquet, M. Requier-Desjardins, and M. Antona. 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: 527-559

    Russell, S., and P. Norvig. 1995. Artificial Intelligence: A Modern Approach. Prentice Hall, Upper Saddle River, NJ

    Ruxton, G. D., and L. A. Saravia. 1998. The need for biological realism in the updating of cellular automata models. Ecological Modelling 107 (2/3): 105-112

    Sanchirico, J. N., and J. E. Wilen. 1999. Bioeconomics of Spatial Exploitation in a Patchy Environment. Journal of Environmental Economics and Management 37 (2): 129-150

    Sanders, L., D. Pumain, H. Mathian, F. Guérin-Pace, and S. Bura. 1997. SIMPOP - a multiagent system for the study of urbanism. Environment and Planning B: Planning and Design 24: 287-305

    Sasaki, Y., and P. Box. 2003. Agent-Based Verification of von Thünen's Location Theory. Journal of Artificial Societies and Social Simulation 6 (2). http://jasss.soc.surrey.ac.uk/6/2/9.html

    Saura, S., and M. Millan. 2001. Sensitivity of landscape pattern metrics to map spatial extent. Photogrammetric Engineering and Remote Sensing 67 (9): 1027-1036

    Schelling, T. 1971. Dynamic models of segregation. Journal of Mathematical Sociology 1: 143-186

    Schelling, T. C. 1969. Models of segregation. American Economic Review 59: 488-493

    ______. 1978. Mircomotives and Macrobehavior. W. W. Norton, New York

    Selten, R. 2001. What is Bounded Rationality? Pages 13-36 in G. Gigerenzer and R. Selten, eds. Bounded Rationality: The Adaptive Toolbox. MIT Press, Cambridge, MA

    Silberberg, E. 1990. The Structure of Economics: A Mathematical Analysis. McGraw-Hill, New York

    Silvertown, J., S. Holtier, J. Johnson, and P. Dale. 1992. Cellular automaton models of interspecific competition for space: The effect of pattern on process. Journal of Ecology 80 (3): 527-534

    Simon, H. A. 1997. Behavioral economics and bounded rationality. Pages 267-433 in H. A. Simon, ed. Models of Bounded Rationality. MIT Press, Cambridge, MA

    Sklar, F. H., and R. Costanza. 1991. The development of dynamic spatial models for landscape ecology: A review and prognosis. Pages 239-288 in M. G. Tuner and R. H. Gardner, eds. Quantitative Methods in Landscape Ecology. Springer-Verlag, New York

    Smith, G. C., and D. S. Bull. 1997. Spatial and temporal ordering of events in discrete cellular automata: An overview. Ecological Modelling 96 (1/3): 305-324

    Southworth, F. 1995. A Technical Review of Urban Land Use - Transportation Models as Tools for Evaluating Vehicle Travel Reduction Strategies. Oak Ridge, TN: Oak Ridge National Laboratory Publication

    Southworth, F., V. H. Dale, and R. V. O'Neill. 1991. Contrasting patterns of land use in Rondônia, Brazil: Simulating the effects on carbon release. International Social Science Journal 130: 681-798

    Steins, N. A., and V. M. Edwards. 1999. Platforms for collective action in multiple-use common-pool resources. Agriculture and Human Values 16: 241-255

    Takeyama, M., and H. Couclelis. 1997. Map dynamics: Integrating cellular automata and GIS through Geo-Algebra. International Journal of Geographical Information Science 11 (1): 73-91

    Tay, N. S. P., and S. C. Linn. 2001. Fuzzy inductive reasoning, expectation formation and the behavior of security prices. Journal of Economic Dynamics and Control 25 (3-4): 321-61

    Tesfatsion, L. 2001. Introduction to the special issue on agent-based computational economics. Journal of Economic Dynamics and Control 25 (3/4): 281-293

    ______. 2002. Agent-based computational economics: Growing economies from the bottom up. Proceedings of the National Academy of Sciences 99 (Supplement 3): 7191-7192

    Thrift, N. 1999. The place of complexity. Theory, Culture and Society 16 (3): 31-69

    Tobler, W. R. 1979. Cellular geography. Pages 379-386 in S. Gale and G. Olsson, eds. Philosophy in Geography. D. Reidel Publishing Company, Dordrecht, Netherlands

    Torrens, P. M. 2001. Can geocomputation save urban simulation? Throw some agents into the mixture, simmer and wait ______University College, London, U.K. Publication 32.

    ______. 2002. New advances in urban simulation: Cellular automata and multi-agent systems as planning support tools in S. S. Geertman, J., ed. Planning Support Systems in Practice. Springer-Verlag, London

    Torrens, P. M., and D. O'Sullivan. 2001. Cellular automata and urban simulation: Where do we go from here? Environment and Planning B 28 (2): 163-168

    Trame, A., S. J. Harper, J. Aycrigg, and J. Westervelt. 1997. The Fort Hood Avian Simulation Model: A Dynamic Model of Ecological Influences on Two Endangered Species. Champaign, Ill.: U.S. Army, Corps of Engineers, CERL Publication 97/88. http://blizzard.gis.uiuc.edu/dsm_FHASM_frame.htm

    Trani, M. K., and R. H. Giles. 1999. An analysis of deforestation: Metrics used to describe pattern change. Forest Ecology and Management 114 (2-3): 459-470

    Turner, B. L. I., D. Skole, S. Sanderson, G. Fischer, L. Fresco, and R. Leemans. 1995. Land-Use and Land-Cover Change; Science/Research Plan. Stockholm and Geneva: IGBP and HDP Publication IGBP Report No.35, HDP Report No.7.

    Turner, M. G., R. Costanza, and F. Sklar. 1989. Methods to evaluate the performance of spatial simulation models. Ecological Modelling 48 (1/2): 1-18

    Tversky, A., and D. Kahneman. 1990. Rational choice and the framing of decisions. Pages 60-89 in K. S. Cook and M. Levi, eds. The Limits of Rationality. University of Chicago Press, Chicago, IL

    Veldkamp, A., and L. O. Fresco. 1996. CLUE: A conceptual model to study the conversion of land use and its effects. Ecological Modelling 85 (2/3): 253-270

    Veldkamp, A., and E. F. Lambin. 2001. Predicting land-use change. Agriculture, Ecosystems, and Environment 85 (1-3): 1-6

    Verburg, P. H., P. Schot, M. Dijst, and A. Velkamp. Forthcoming. Land-Use Change Modeling: Current Practice and Research Priorities. GeoJournal

    Waddell, P. 1998. UrbanSim: The Oregon prototype metropolitan land use model. ASCE Conference on Land Use, Transportation and Air Quality: Making the Connection. ASCE, Portland, Oregon

    Waldrop, M. M. 1992. Complexity: The Emerging Science at the Edge of Order and Chaos. Simon and Schuster, New York, NY

    Wang, Y., and X. Zhang. 2001. A dynamic modeling approach to simulating socioeconomic effects on landscape change. Ecological Modelling 140: 141-162

    Webster, C. J., and F. Wu. 1999. Regulation, land-use mix, and urban performance. Environment and Planning A 31 (9): 1529-1545

    Weibull, J. W. 1995. Evolutionary Game Theory. MIT Press, Cambridge, MA

    Weinberg, M., C. L. Kling, and J. E. Wilen. 1993. Water markets and water quality. American Journal of Agricultural Economics 75 (2): 278-91

    Weiss, G., ed. 1999. Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence. MIT Press, Cambridge

    Westervelt, J. D., B. M. Hannon, S. Levi, and S. J. Harper. 1997. A Dynamic Simulation Model of the Desert Tortoise (Gopherus agassizii) Habitat in the Central Mojave Desert. Champaign, IL: U.S. Army, Corps of Engineers, CERL Publication 97/102. http://blizzard.gis.uiuc.edu/dsm_TORT_frame.htm

    White, R., and G. Engelen. 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): 1175-1199

    ______. 1994. Cellular dynamics and GIS: Modelling spatial complexity. Geographical Systems 1 (3): 237-253

    ______. 1997. Cellular automata as the basis of integrated dynamic regional modelling. Environment and Planning B 24: 235-246

    ______. 2000. High-resolution integrated modeling of spatial dynamics of urban and regional systems. Computers, Environment, and Urban Systems 24: 383-400

    Wooldridge, M. 1999. Intelligent Agents. Pages 27-77 in G. Weiss, ed. Multiagent Systems: a Modern Approach to Distributed Artificial Intelligence. MIT Press, Cambridge, MA

    Wu, F. 1998. An experiment on the generic polycentricity of urban growth in a cellular city. Environment and Planning B 25: 731-752

    Zambrano, E. 1997. The Revelation Principle of Bounded Rationality. Santa Fe, NM: The Santa Fe Institute Publication 97-06-060.

    Zeigler, B. P. 1976. Theory of Modelling and Simulation. Wiley, New York

    ______. 1990. Object Oriented Simulation with Hierarchical, Modular Models: Intelligent Agents and Endomorphic Systems. Academic Press, San Diego

    Ziemelis, K., and L. Allen. 2001. Nature insight: Complex Systems. Nature 410: 241


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