Using the ODD protocol for describing three agent-based social simulation models of land-use change

JASSS

Volumn 11, Issue 2, 2008, Pages

  Polhill, J Gary ^a   Parker, Dawn ^a   Brown, Daniel ^a   Grimm, Volker ^a  

^a NONE

Author keywords

LUCC; Model communication; Model documentation; ODD

Indexed keywords

EID: 44349150976     PISSN: 14607425     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (54)

1. ALESSA L N, Laituri M and Barton M (2006). An "all hands" call to the social science community: Establishing a community framework for complexity modeling using agent based models and cyberinfrastructure. Journal of Artificial Societies and Social Simulation 9 (4) 6. http://jasss.soc. surrey.ac.uk/9/4/6.html.
2. ANTONIOU G and van Harmelen F (2004). Web Ontology Language: OWL. In Staab S and Studer R (Eds.) Handbook on Ontologies. Berlin: Springer. pp. 67-92.
3. AXELROD R M (1986). An evolutionary approach to norms. American Political Science Review. 80 (4), 1095-1111.
4. AXTELL R, Axelrod R, Epstein J, and Cohen M D (1995). Aligning simulation models: A case study and results. Computational and Mathematical Organization Theory 1 (1), 123-141.
5. BARRETEAU O and others (2003). Our companion modelling approach. Journal of Artificial Societies and Social Simulation 6 (2) 1. http://jasss.soc.surrey.ac.uk/6/2/1.html
6. BAUER B, Müller J and Odell J (2001). Agent UML: A formalism for specifying multiagent interaction. In Ciancarini P and Wooldridge M (Eds.) Agent-Oriented Software Engineering: First International Workshop AOSE 2000, Limerick, Ireland, June 10, 2000. Lecture Notes in Computer Science 1957. Berlin: Springer-Verlag, pp. 91-103.
7. BERRY B, Kiel L, and Elliot E (2002). Adaptive agents, intelligence, and emergent human organization: Capturing complexity through agent-based modeling. Proceedings of the National Academy of Sciences 99 (Supplement 3), 7178-88.
8. BIGBEEA, Cioffi-Revilla C and Luke S (2005). Replication of Sugarscape using MASON. In Troitzsch K G (Ed.) Representing Social Reality: Pre-proceedings of the Third Conference of the European Social Simulation Association, Koblenz, September 5-9, 2005. Koblenz: Verlag Dietmar Fölbach. pp. 6-15.
9. BOERO R and Squazzoni F (2005). Does empirical embeddedness matter? Methodological issues on agent-based models for analytical social science. Journal of Artificial Societies and Social Simulation 8 (4) 6. http://jasss.soc.surrey.ac.uk/8/4/6.html
10. BROWN D G, Page S E, Riolo R and Rand W (2004). Agent based and analytical modeling to evaluate the effectiveness of greenbelts. Environmental Modelling and Software 19, 1097-1109.
11. BROWN D G, Page S E, Riolo R, Zellner M and Rand W (2005). Path dependence and the validation of agent-based spatial models of land use. International Journal of Geographic Information Systems 19, 153-174.
12. BROWND G and Robinson D T (2006). Effects of heterogeneity in preferences on an agent-based model of urban sprawl. Ecology and Society 11 (1): 46, http://www.ecologyandsociety.org/vol11/iss1/art46/.
13. CHRISTLEY S, Xiang X and Madey G (2004). Ontology for agent-based modeling and simulation. In Macal C M, Sallach D and North MJ (Eds.) Proceedings of the Agent 2004 Conference on Social Dynamics: Interaction, Reflexivity and Emergence, co-sponsored by Argonne National Laboratory and the University of Chicago, October 7-9. http://www.agent2005.anl.gov/Agent2004. pdf.
14. CIOFFI-REVILLA C and Gotts N (2003). Comparative analysis of agent-based simulations: Geosim and FEARLUS models. Journal of Artificial Societies and Social Simulation 6 (4) 10. http://jasss.soc.surrey.ac.uk/6/4/10.html.
15. DAVIES B, Koo B, Hunsberger C, Rothman D, Polhill G, Blackstock K, Izquierdo L, Gotts N, Ferrier R and Dunn S (2006). Story and simulation approaches to appraise possible programmes of measures for a sub basin in Scotland. Third Harmoni-CA Forum and Conference, 5-7April 2006, Osnabrück, Germany. http://www.harmpni-CA_Forum_and_Conference/ abstract%20Blackstock.pdf.
16. DREYFUS-LEON M and Kleiber P (2001). A spatial individual behaviour-based model approach of the yellowfin tuna fishery in the eastern Pacific Ocean. Ecological Modelling 146 (1-3), 47-56.
17. EDMONDS B and Males D (2003). Replication, replication and replication: Some hard lessons from model alignment. Journal of Artificial Societies and Social Simulation 6 (4) 11,
18. FERNANDEZ L, Brown D G, Marans R and Nassauer J (2005). Characterizing location preferences in an exurban population: Implications for agent based modeling. Environment and Planning B, 32 (6), 799-820.
19. GALAN J M and Izquierdo L R (2005). Appearances can be deceiving: Lessons learned reimplementing Axelrod's 'Evolutionary Approach to Norms'. Journal of Artificial Societies and Social Simulation 8 (3) 2, http://jasss.soc. surrey.ac.uk/8/3/2.html.
20. GILBERT N and Troitzsch K G (2005). Simulation for the social scientist. Open University Press.
21. GOSS-CUSTARD J D, Burton N H K, Clark N A, Ferns P N, McGrorty S, Reading CJ, Rehfisch M M, Stillman RA, Townend I, West A D and Worrall D H (2006). Test of a behavior-based individual-based model: response of shorebird mortality to habitat loss. Ecological Applications, 16, 2215-2222.
22. GOTTS N M, Polhill J G and Law ANR (2003). Aspiration levels in a land use simulation. Cybernetics and Systems 34, 663-683.
23. GRIMM V (2007). Ecological models: Individual-based models. In Jørgensen S-E (Ed.) Encyclopedia of Ecology. Elsevier (in press).
24. GRIMM V, Berger U, Bastiansen F, Eliassen S, Ginot V, Giske J, Goss-Custard J, Grand T, Heinz S K, Huse G, Huth A, Jepsen J U, Jørgensen C, Mooij W M, Müller B, Pe'er G, Piou C, Railsback S F, Robbins A M, Robbins M M, Rossmanith E, Rüger N, Strand E, Souissi S, Stillman R A, Vabø R, Visser U and DeAngelis D L (2006). A standard protocol for describing individual-based and agent-based models. Ecological Modelling 198 (1-2), 115-126.
25. GRIMM V and Railsback S F (2005). Individual-based Modeling and Ecology. Princeton University Press, Princeton, NJ.
26. GRIMM V, Revilla E, Berger U, Jeltsch F, Mooij W M, Railsback S F, Thulke H-H, Weiner J, Wiegand T and DeAngelis D L (2005). Pattern-oriented modeling of agent-based complex systems: lessons from ecology. Science 310, 987-991.
27. HARE M and Deadman PJ (2004). Further towards a taxonomy of agent based simulation models in environmental management. Mathematics and Computers in Simulation 64 (1), 25-40.
28. HARPER, S J, Westervelt J D and Trame A-M (2002). Management application of an agent-based model: control of cowbirds at the landscape scale. In Gimblett H R (Ed.) Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Understanding Social and Ecological Processes. Oxford University Press.
29. KALDOR N (1961/1968). Capital Accumulation and Economic Growth. In Lutz, F A and Hague, D C (Ed.): The Theory of Capital. Reprint. London: Macmillan, pp. 177-222.
30. KOO B K, Dunn S M and Ferrier R C (2004). A spatially-distributed conceptual model for reactive transport of phosphorus from diffuse sources: an object-orientated approach. In Pahl-Wostl C, Schmidt S and Jakeman T (Eds.) IEMSs 2004 International Congress: Complexity and Integrated Resources Management, International Environmental Modelling and Software Society, Osnabrück, Germany, 14-17 June 2004.
31. MARANS R W (2003). Understanding environmental quality through quality of life studies: The 2001 DAS and its use of subjective and objective indicators. Landscape and Urban Planning 65(1-2), 75-85.
32. MATHEVET R, Bousquet F, Le Page C and Antona M (2003). Agent-based simulations of interactions between duck population, farming decisions and leasing of hunting rights in the Camargue (Southern France). Ecological Modelling 165: 107-126.
33. MOSS S, Gaylard H, Wallis S and Edmonds B (1998). SDML: A multi-agent language for organizational modelling. Computational & Mathematical Organization Theory 4 (1), 43-69.
34. PARKER D C (1999). Landscape outcomes in a model of edge-effect externalities: A computational economics approach. SFI Publication 99-07-051. Santa Fe, NM: Santa Fe Institute, http://www.santafe.edu/ research/publications/workingpapers/99-07-051.pdf.
35. PARKER D C (2005). Agent-based modelling to explore linkages between preferences for open space, fragmentation at the urban-rural fringe, and economic welfare. Paper presented at The Role of Open Space and Green Amenities in the Residential Move from Cities, December 14-16 2005, Dijon, France.
36. 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. LUCC Report Series No. 6. Anthropological Center for Training and Research on Global Environment Change, Indiana University, USA: LUCC Focus 1 Office.
37. PARKER D C, Brown D G, Polhill J G, Deadman PJ and Manson S M (2008). Illustrating a new 'conceptual design pattern' for agent-based models and land use via five case studies: The MR POTATOHEAD framework. In Lopez Paredes A and Hernandez Iglesias C (Eds.) Agent-Based Modelling in Natural Resource Management Valladolid, Spain: Universidad de Valladolid, pp. 23-51.
38. PARKER D C and Meretsky V (2004). Measuring pattern outcomes in an agent-based model of edge-effect externalities using spatial metrics. Agriculture, Ecosystems and Environment 101, 233-250.
39. PIOU P, Berger U, Hildenbrandt H, Grimm V, Diele K and D'Lima C (2007). Simulating cryptic movements of a mangrove crab: recovery phenomena after small scale fishery. Ecological Modelling 205, 110-122.
40. PITT W C, Box P W and Knowlton F F (2003). An individual-based model of canid populations: modelling territoriality and social structure. Ecological Modelling, 166, 109-121.
41. 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 (1-2), 285-307.
42. POLHILL J G, Parker D C and Gotts N M (2005). Introducing land markets to and agent based models of land use change. In Troitzsch K G (Ed.) Representing Social Reality: Preproceedings of the Third Conference of the European Social Simulation Association, Koblenz, September 5-9, 2005. Koblenz: Verlag Dietmar Fölbach. pp. 150-157.
43. POLHILL J G, Parker D C and Gotts N M (2008). Effects of land markets on competition between innovators and imitators in land use: results from FEARLUS-ELMM. In: Hernandez, C., Troitzsch, K. and Edmonds, B. (Eds.), Social Simulation Technologies: Advances and New Discoveries. New York: ICI Global, pp. 81-97.
44. POLHILL J G, Pignotti E, Gotts N M, Edwards P and Preece A (2007). A semantic grid service for experimentation with an agent-based model of land use change. Journal of Artificial Societies and Social Simulation 10 (2) 2, http://jasss.soc.surrey.ac.uk/10/2/2.html.
45. RAILSBACK S F (2001). Concepts from complex adaptive systems as a framework for individual-based modelling. Ecological Modelling, 139, 47-62.
46. RAILSBACK S F and Harvey, B C (2002). Analysis of habitat selection rules using an individual-based model. Ecology, 83, 1817-1830.
47. RAND W, Brown D G, Page S E, Riolo R, Fernandez L E and Zellner M (2003). Statistical validation of spatial patterns in agent-based models. Proceedings of Agent Based Simulation 4, Montpellier, France, 2003.
48. RICHIARDI M, R Leombruni R, Saam N and Sonnessa M (2006). A Common Protocol for Agent-Based Social Simulation. Journal of Artificial Societies and Social Simulation 9 (1) 15. http://jasss.soc.surrey.ac.uk/9/1/15. html.
49. RIOLO R L, Cohen M D and Axelrod R (2001). Evolution of cooperation without reciprocity. Nature 411, 441-443.
50. SCHWEIK C, Evans T and Grove J M (2005). Open source and open content: A framework for global collaboration in social-ecological research. Ecology and Society 10 (1): 33. http://www.ecologyandsociety.org/vol10/iss1/art33/.
51. WANG M and Grimm V (2007). Home range dynamics and population regulation: an individual-based model of the common shrew. Ecological Modelling 205, 397-409.
52. WILENSKY U (1999). Netlogo. http://ccl.northwestern.edu/netlogo/. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.
53. WILENSKY U and RAND W (2007) Making models match: replicating an agent-based model. Journal of Artificial Societies and Social Simulation 10 (4) 2. http://jasss.soc.surrey.ac.uk/10/4/2.html
54. ZELLNER M L, Riolo R, Rand W, Page S E, Brown D C and Fernandez L E (2003). The Interaction between zoning regulations and residential preferences as a driver of urban form. 2003 UTEP Distinguished Faculty and Student Symposium, Urban and Regional Planning Program, University of Michigan. April, 2003.