Balmann, A., K. Happe, et al. (2003). Adjustment costs of agri-environmental policy switching: an agent-based analysis of the German region Hohenlohe. Complexity and ecosystem management: The theory and practice of multiagent systems. M. Janessen.
Barreteau, O. and F. Bousquet (2000). "SHADOC; a multi-agent model to tackle viability of irrigated systems,." Annals of operations research.
Becu, N., P. Perez, et al. (2003). "Agent based simulation of a small catchment water management in northern Thailand: description of the CATCHSCAPE model." Ecological Modelling.
Berger, T. (2001). "Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis." Agricultural economics.
Bousquet, F. and C. Page ( 2004). "Multi-agent simulations and ecosystem management: a review,." Ecological Modelling.
Bousquet, F., R. Lifran, et al. (2001). "Agent based modelling, game theory and natural resource management issues." JASSS.
Bousquet F et al (2002). Multi-agent systems and role games: collective learning processes for ecosystem management. Complexity and ecosystem management: The theory and practice of multiagent systems. M. Janessen.
Box, P. (2002). Spatial Units as Agents: Making the Landscape an equal player in Agent-based Simulations. Integrating GIS and agent-based modelling techniques. H. Gimblett, Santa Fe.
Deadman, P. (1999). "Modelling individual behaviour and group performance in an intelligent agent-based simulation of the tragedy of the commons." Journal of Environmental Management.
Deffuant, G., S. Huet, et al. (2002). Agent-based simulation of organic farming conversion in Allier departement. Complexity and ecosystem management: The theory and practice of multiagent systems. M. Janessen.
Duke-Sylvester, S. and L. Gross (2002). Integrating spatial data into an agent-based modelling system: Ideas and lessons from the development of the across trophic level system simulation. Integrating GIS and agent-based modelling techniques. H. Gimblett, Santa Fe.
Etienne, M. (2003). "SYLVOPAST: a multiple target role-playing game to assess negotiation processes in sylvopastroal management planning." JASSS.
Etienne, M., C. Le Page, et al. (2003). "A step-by-step approach to building land management scenarios based on multiple viewpoints on multi-agent system simulations." JASSS.
Evan, T. and H. Kelley (2004). "Multi-scale analysis of a household level agent-based model of landcover change." Journal of environmental management.
FIRMA (2003). Participatory Integrated Assessment in Five Case Studies, http://firma.cfpm.org/reports.html.
Gimblett, H. (2002). Integrating GIS and agent-based technologies for modelling and simulating social and ecological phenomena. Integrating GIS and agent-based modelling techniques. G. H, Santa Fe.
Gotts, N., J. Pollihill, et al. (2002). "Aspiration levels in a land use simulation (FEARLUS),." WIP.
Gotts, N., J. Pollihill, et al. (2002). "Dynamics of imitation in a land use simulation (FEARLUS)." WIP.
Gotts, N., J. Pollihill, et al. (2002). "FEARLUS-W: An agent-based model of river basin land use and water management,." WIP.
Hare, M. and P. Deadman (2004). "Further towards a taxonomy of agent-based simulation models in environmental management,." Mathematics and computers in simulation.
Harper, S., J. Westervelt, et al. (2002). Management Application of an agent-based model: Control of Cowbirds at the Landscape Scale. Integrating GIS and agent-based modelling techniques. H. Gimblett, Santa Fe.
Hoffman, M., H. Kelley, et al. (2002). Simulating land-cover change in South-Central Indiana: an agent-based model of deforestation and afforestation. Complexity and ecosystem management: The theory and practice of multiagent systems. M. Janessen.
Huigen, M. (2004). "First principles of the MameLuke multi-actor modelling framework for land-use change, illustrated with a Philippine case study." Journal of environmental management.
Janssen, M., B. Walker, et al. (2000). "An adaptive agent model for analysing co-evolution of management and policies in a complex rangeland system,." Ecological Modelling.
Janssen, M. (2001). "An exploratory integrated model to assess management of lake eutrophication." Ecological Modelling.
Kohler T et al (1999). Be there then: A modelling approach to settlement determinants and spatial efficiency among late ancestral pueblo populations of the Messa Verde region US southwest. Dynamics in Human Primate Societies. T. Kohler and G. Gumerman.
Ligtenberg, A., M. Wachowicz, et al. (2004). "A design and application of a multi-agent system for simulation of multi-actor spatial planning." Journal of environmental management.
Lynam, T. (2002). Scientific measurements and villagers' knowledge: an integrative multi-agent model from the semi-arid areas of Zimbabwe. Complexity and ecosystem management: The theory and practice of multiagent systems. M. Janessen.
Mathews, R. (2004). "PALM: An agent-based spatial model of livelihood generation and resource flows in rural households and their environment,." WIP.
Mathews, R. and C. Pilbeam (2004). "Modelling the long term sustainability of maize/millet cropping systems in the mid-hills of Nepal,." WIP.
Nute, D. (2004). "NED-2: an agent based decision support system for forest ecosystem management." Environmental modelling and software.
Otter H, d. V. A., and de Vriend H, (2001). "ABLOoM: Location behaviour, spatial patterns and agent-based modelling." JASSS.
Parker, D., T. Berger, et al., Eds. (2001). Agent-Based Models of Land-Use and Land-Cover Change: Report and Review of an International Workshop. Indiana, Indiana University.
Parker, D., S. Manson, et al. (2003). "Multi-agents systems for the simulation of land-use and land-cover change: A review." Annals of the Association of American Geographers.
Parker, D. and V. Maretsky (2004). "Measuring pattern outcomes in an agent-based model of edge-effect externalities using spatial metrics." Agriculture, ecosystems and environment.
Rajan, K. and R. Shibasaki (1999). "Model Simulated land use/Cover changes in Thailand-results from AGENT-LUC model." www.gisdevelopment.net/aars/acrs/1999/ts5/ts5207.shtml.
Rouchier, J., F. Bousquet, et al. (2001). "A multi-agent model for describing transhumanance in North Cameroon: Comparison of different rationality to develop a routine." Journal of Economic Dynamics and Control.
Sander, L., D. Pumain, et al. (1997). "SIMPOP: a multiagent system for the study of urbanisation." Environment and Planning B.
Torrens, P. (2001). "Can geocomputation save urban simulation?" WIP.
Turner II et al (2001). "Deforestation in the southern Yucatan peninsular region: an integrative approach." Forest ecology and management.
And, here is the complete bibliography from a forthcoming chapter, "Integration of Geographic Information Systems and Agent-Based Models of Land Use: Prospects and Challenges," forthcoming in the ESRI press book “GIS, Spatial Analysis and Modeling,” David J. Maguire, Michael F. Goodchild and Michael Batty, Editors.
There is a more complete version of this bibliography that I can send you if you like, in endnote or text format.
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.
Anas, A., R. Arnott, and K. A. Small. 1998. Urban spatial structure. Journal of Economic Literature 36 (3): 1426-1464
Angelsen, A., and D. Kaimowitz. 1998. Rethinking the causes of tropical deforestation: Lessons from economic models. The World Bank Research Observer 14 (1): 73-98. http://www.worldbank.org/research/journals/wbro/obsfeb99/pdf/ article4.pdf.
Anselin, L. 1988. Spatial econometrics: Methods and models. Kluwer Academic, Studies in Operational Regional Science series, Norwell, MA; London and Dordrecht
—. 2002. Under the hood: Issues in the specification and interpretation of spatial regression models. Agricultural Economics 27 (3): 247-267
Aquino (d'), P., C. Le Page, F. Bousquet, and A. Bah. 2003. Using self-designed role-playing games and a multi-agent system to empower a local decision-making process for land use management: The selfcormas experiment in Senegal. Journal of Artificial Societies and Social Simulation 6 (3).
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
Becu, N., P. Perez, B. Walker, O. Barreteau, and C. Le Page. 2003. Agent-based simulation of a small catchment water management in northern Thailand: Description of the catchscape model. Ecological Modelling 170 (2-3): 319-331
Benenson, I., S. Aronovich, and S. Noam. forthcoming. Let's talk objects: Generic methodology for urban high-resolution simulation. Computers, Environment, and Urban Systems
Benenson, I., and P. Torrens. 2004. Geosimulation: Automata-Based Modeling of Urban Phenomena. John Wiley & Sons, London
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
Berger, T., and D. C. Parker. 2002. Introduction to Specific Examples of Research. Meeting the Challenge of Complexity: Proceedings of the Special Workshop on Agent-Based Models of Land-Use/Land-Cover Change. CIPEC/CSISS, Santa Barbara. http://www.csiss.org/maslucc/ABM-LUCC.htm.
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
Boissau, S., and J. C. Castella. 2003. Constructing a common representation of local institutions and land use systems through simulation-gaming and multi-agent modeling in rural areas of northern Vietnam: The SAMBA-Week methodology. Simulations and Gaming 34 (3): 342-347
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. Edward Elgar Publishers, Cheltenham, U.K.; Northampton, MA
Bousquet, F., and D. Gautier. 1998. Comparaison de deux approches de modélisation des dynamiques spatiales par simulation multi-agents : Les approches spatiales et acteurs. CyberGéo 89. http://193.55.107.45/modelis/bousquet/bousquet.htm.
Bousquet, F., and C. Le Page. 2004. Multi-agent simulations and ecosystem management: A review. Ecological Modelling 76 (3-4): 313-332
Bousquet, F., C. Le Page, M. Antona, and P. Guizol. 2000. Ecological scales and use rights: The use of multiagent systems. Paper presented in the Forest and society : The role of research. Sub-plenary session XXI. IUFRO World Congress 2000, Kuala Lumpur.
Bousquet, F., C. LePage, I. Bakam, and A. Takforyan. 2001. Multi-agent simulations of hunting wild meat in a village in eastern Cameroon. Ecological Modelling 138 (1-3): 331-346
Briassoulis, H. 1999. Analysis of Land Use Change: Theoretical and Modeling Approaches. Regional Research Institute, West Virginia University, Morgantown, WV. http://www.rri.wvu.edu/WebBook/Briassoulis/contents.htm.
Brown, D., M. North, D. Robinson, R. Riolo, and W. Rand. forthcoming-a. Spatial process and data models: Toward integration of agent-based models and GIS. Journal of Geographic Systems
Brown, D., R. Riolo, D. Robinson, W. Rand, M. North, and K. Johnston. 2004. Toward integration of spatial data models and agent-based process models. Paper presented in the GIScience 2004: Third International Conference on Geographic Information Science, University of Maryland Conference Center.
Brown, D. G., S. E. Page, R. Riolo, M. Zellner, and R. W. forthcoming-b. Path dependence and the validation of agent-based spatial models of land use. International Journal of Geographic Information Systems
Caruso, G., M. Rounsevell, and G. Cojocaru. Forthcoming. Exploring a spatio-dynamic neighbourhood-based model of residential behaviour in the Brussels periurban area. International Journal of Geographical Information Science
Deadman, P., D. Robinson, E. Moran, and E. Brondizio. forthcoming. Effects of colonist household structure on land-use change in the Amazon rainforest: An agent-based simulation approach. Environment and Planning B
Dibble, C., and P. G. Feldman. 2004. The GeoGraph 3D Computational Laboratory: Network and Terrain Landscapes for RePast. Journal of Artificial Societies and Social Simulation 7 (1). http://jasss.soc.surrey.ac.uk/7/1/7.html.
Ducrot, R., C. Le Page, P. Bommel, and M. Kuper. 2004. Articulating land and water dynamics with urbanization:an attempt to model natural resources management at the urban edge. Computers, Environment, and Urban Systems 28 (1-2): 85-106
Epstein, J. M., and R. Axtell. 1996. Growing Artificial Societies: Social Science from the Ground Up. Brookings Institution Press, Washington, D.C.
Etienne, M. 2003a. Sylvopast: A multiple target role-playing game to assess negotiation processes in sylvopastoral management planning. Journal of Artificial Societies and Social Simulation 6 (2). http://jasss.soc.surrey.ac.uk/6/2/5.html.
Etienne, M., Le Page, C. and Cohen, M. 2003b. A step-by-step approach to building land management scenarios based on multiple viewpoints on multi-agent system simulations. Journal of Artificial Societies and Social SImulation 6 (2). http://jasss.soc.surrey.ac.uk/6/2/2.html.
Evans, T. P., and H. Kelley. 2004. Multi-scale analysis of a household level agent-based model of landcover change. Journal of Environmental Management 72 (1-2): 57-72
Feuillette, S., F. Bousquet, and P. Le Goulven. 2003. Sinuse: A multi-agent model to negotiate water demand management on a free access water table. Environmental Modelling and Software 18 (5): 413-427
Fleming, M. 2004. Techniques for Estimating Spatially Dependent Discrete Choice Models in L. Anselin and R. J. G. M. Florax, eds. Advances in Spatial Econometrics. Springer, New York
Fowler, M., and K. Scott. 2000. UML Distilled: A Brief Guide to the Standard Object Modeling Laguage. Addison Wesley Longman, Reading, MA
Geist, H., and E. F. Lambin. 2002. Proximate causes and underlying driving forces of tropical deforestation. Bioscience 52 (2): 143-150
Gimblett, H. R., ed. 2002a. Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Simulating Social and Ecological Processes. Oxford University Press, Oxford, U.K.
—. 2002b. Integrating Geographic Information Systems and agent-based technologies for modeling and simulating social and ecological phenomena. Pages 1-20 in H. R. Gimblett, ed. Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Simulating Social and Ecological Processes. Oxford University Press, Oxford, U.K.
Gimblett, H. R., M. T. Richards, and R. Itami. 2002. Simulating wildland recreation use and conflicting spatial interactions using rule-driven agents. Pages 211-244 in H. R. Gimblett, ed. Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Simulating Social and Ecological Processes. Oxford University Press, Oxford, U.K.
Gimblett, H. R., C. A. Roberts, T. C. Daniel, M. Ratcliff, M. Meitner, S. Cherry, D. Stallman, R. Bogle, D. K. Allerd, and J. Bieri. 2002. An intelligent agent model for simulating and evaluating river trip scenarios along the Colorado River in Grand Canyon National Park. Pages 245-276 in H. R. Gimblett, ed. Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Simulating Social and Ecological Processes. Oxford University Press, Oxford, U.K.
Gonçalves, A. S., A. Rodrigues, and L. Correia. 2004. Multi-Agent Simulation within Geographic Information Systems. Paper presented in the 5th Workshop on Agent-Based Simulation, ABS04, May, Lisbon, Portugal.
Gotts, N. M. G., J. G. Polhill, and A. N. R. Law. 2003. Aspiration levels in a land use simulation. Cybernetics and Systems 34 (8): 663-683
Grimm, V., and S. F. Railsback. forthcoming. Chapter 1: Introduction in V. Grimm and S. F. Railsback, eds. Individual-based Modeling and Ecology. Princeton University Press, Princeton, NJ
Harper, S. J., J. D. Westervelt, and A.-M. Trame. 2002. Management application of an agent-based model: Control of cowbirds at the landscape scale 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.
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
Irwin, E. G., and N. Bockstael. forthcoming. The spatial pattern of land use in the U.S. in R. Arnott and D. McMillen, eds. A Companion to Urban Economics
Itami, R. 2002. Mobile agents with spatial intelligence. Pages 191-210 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.
Itami, R., R. Raulings, G. MacLaren, K. Hirst, R. Gimblett, D. Zanon, and P. Chladek. 2004. Simulating the complex interactions between human movement and the outdoor recreation environment. Journal of Nature Conservation 11 (4): 278-286
Itami, R. M., G. S. MacLaren, K. M. Hirst, R. J. Raulings, and H. R. Gimblett. 2000. RBSIM 2: Simulating human behavior in National Parks in Australia: Integrating GIS and Intelligent Agents to predict recreation conflicts in high use natural environments. Paper presented in the 4th International Conference on Integrating GIS and Environmental Modeling (GIS/EM4), September 2 - 8, Banff, Alberta, Canada. http://www.colorado.edu/research/cires/banff/pubpapers/57/.
Jackson, R. W. 1994. Object-oriented modeling in regional science: An advocacy view. Papers in Regional Science 73 (4): 347-367
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 E. Ostrom. forthcoming. Governing social-ecological systems in K. Judd and L. Tesfatsion, eds. Handbook of Computational Economics II: Agent-Based Computational Economics. North-Holland
Kaimowitz, D., and A. Angelsen. 1998. Economic Models of Tropical Deforestation: A Review. Centre for International Forestry Research, Jakarta, Indonesia
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 University Press, New York and Oxford, U.K.
Kwartler, M., and R. N. Bernard. 2001. CommunityViz: An Integrated Planning Support System in R. K. Brail and R. E. Klosterman, eds. Planning Support Systems Integrating Geographic Systems, Models, and Visualization Tools. ESRI Press, Redland, CA
Lambin, E. F., H. Geist, and E. Lepers. 2003. Dynamics of land-use and land-cover change in tropical regions. Annual Review of Environmental Resources 28: 205-241
Long, J. S. 1997. Regression Models for Categorical and Limited Dependent Variables. Sage Publications, Thousand Oaks, CA
Luke, S., G. C. Balan, L. Panait, C. Cioffi-Revilla, and S. Paus. 2003. MASON: A Java multi-agent simulation library. Paper presented in the Agent 2003 conference: Challenges in social simulation, Chicago, IL. http://agent2003.anl.gov/proc.html.
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.tc.umn.edu/~manson/Resources/Manson_2000_GISEM4_ADSS_www.pdf.
—. 2002. Integrated Assessment and Projection of Land-Use and Land-Cover Change in the Southern Yucatán Peninsular Region of Mexico. Ph D. diss. Clark, Worcester, MA
—. 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 Yucatán Peninsular Region. Claredon Oxford University Press, Oxford, UK
Mathevet, R., F. Bousquet, C. Le Page, and M. Antona. 2003. Agent-based simulations of interactions between duck populations, farming decisions and leasing of hunting rights in the Camargue (Southern France). Ecological Modelling 165 (2-3): 107-126
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.
Najlis, R. 2004. Personal Communication: Technical specifications for the TSUNAMI and Agent Analyst models.
Najlis, R., and M. North. 2004. Repast for GIS. Paper presented in the Agent 2004 Conference on Social Dynamics: Interaction, Reflexivity, and Emergence, Chicago, IL. http://agent2004.anl.gov/proc.html.
Najlis, R. I., M. A. Janssen, and D. C. Parker. 2002. Software tools and communication issues. Meeting the Challenge of Complexity: Proceedings of the Special Workshop on Agent-Based Models of Land-Use/Land-Cover Change. CIPEC/CSISS, Santa Barbara. http://www.csiss.org/maslucc/ABM-LUCC.htm.
North, M., M. Rimmer, and C. M. Macal. 2003. Why the Navy Needs TSUNAMI. Paper presented in the Swarmfest 2003, South Bend, IN.
Parker, D. C., T. Berger, and S. M. Manson. 2002a. 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. http://www.csiss.org/maslucc/ABM-LUCC.htm.
—. 2002b. 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., S. M. Manson, and T. Berger. 2002. POTENTIAL STRENGTHS AND APPROPRIATE ROLES FOR ABM/LUCC. Meeting the Challenge of Complexity: Proceedings of the Special Workshop on Agent-Based Models of Land-Use/Land-Cover Change. CIPEC/CSISS, Santa Barbara. http://www.csiss.org/maslucc/ABM-LUCC.htm.
Parker, D. C., S. M. Manson, M. A. Janssen, M. Hoffmann, and P. Deadman. 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): 314–337
Parker, D. C., and V. Meretsky. 2004. Measuring pattern outcomes in an agent-based model of edge-effect externalities using spatial metrics. Agriculture, Ecosystems and Environment 101 (2-3): 233-250
Parker, M. T. 2001. What is Ascape and why should you care? Journal of Artificial Societies and Social SImulation 4 (1). http://jasss.soc.surrey.ac.uk/4/1/5.html.
Perman, R., Y. Ma, J. McGilvray, and M. Common. 2003. Natural Resource and Environmental Economics. Pearson Addison Wesley, New York
Reynolds, R., T. A. Kohler, and Z. Kobti. 2003. The effects of generalized reciprocal exchange on the resilience of social networks: An example from the Prehispanic Mesa Verde region. Computational & Mathematical Organization Theory 9 (3): 227-254
Thomas, W. H., M. North, C. M. Macal, and J. P. Peerenboom. 2003. From physics to finances: Complex adaptive systems representation of infrastructure interdependencies. Dahlgren, VA: Naval Surface Warfare Center Publication
Torrens, P. 2003. Automata-based models of urban systems. Pages 61-81 in P. A. Longley and M. Batty, eds. Advanced Spatial Analysis. ESRI press, Redlands, CA
Torrens, P., and I. Benenson. forthcoming. Geographic Automata Systems. International Journal of Geographic Information Systems
Trébuil, G., F. Shinawtra-Ekasingh, F. Bousquet, and C. Thong-Ngam. 2002. Multi-agent systems companion modeling for integrated watershed management: A Northern Thailand experience. Paper presented in the 3rd International Conference on Montane Mainland Southeast Asia (MMSEA 3), Lijiang, Yunnan, China.
Verburg, P. H., P. Schot, M. Dijst, and A. Velkamp. forthcoming. Land-use change modeling: Current practice and research priorities. GeoJournal
Westervelt, J. 2002. Geographic information systems and agent-based modeling in H. R. Gimblett, ed. Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Understanding Social and Ecological Processes. Oxford University Press, Oxofrd, U.K.
Westervelt, J. D., and L. D. Hopkins. 1999. Modeling mobile individuals in dynamic landscapes. International Journal of Geographic Information Systems 13 (3): 191-208
Leigh Tesfatsion addedBelow is an article that would seem to fit well with your objectives but that is not on your list:
J. Stephen Lansing and James N. Kremer, "Emergent Properties of Balinese Water Temple Networks: Coadaptation on a Rugged Fitness Landscape," American Anthropologist, New Series, Vol. 95, No. 1, March 1993, 97-114.
Bob Axelrod and I list this on our Guide for Newcomers to Agent-Based Modeling in the Social Sciences (http://www.econ.iastate.edu/tesfatsi/abmread.htm).
From the simsoc list 1/27/2005, Dimitris Ballas
The Joseph Rowntree Foundation has just published a guide to the development of microsimulation techniques in research.
Geography matters, by Dimitris Ballas of the University of Sheffield (and others), builds on past work in the area of microsimulation to present a new spatial simulation methodology. It discusses the conceptual and practical issues of microsimulation, highlighting the differences between static and dynamic microsimulation. The authors outline how a geographical microsimulation model can be built and explain the geographical simulation method clearly, keeping mathematical and statistical jargon to a minimum.
The book promotes greater convergence of the methods used by economists, geographers and other social scientists working in this field. It will appeal to all social scientists and researchers interested in the geographical implications of social policies and will be a useful introduction for undergraduate and postgraduate students to simulation methods in the social sciences.
Geography matters is available now as a free PDF download or as a paperback report, priced 17.95, from http://www.jrf.org.uk/bookshop/details.asp?pubID=659.