An Agent-Based Simulation Testing the Impact of Water Allocation on Farmers’ Collective Behaviors

Simulation

Volumn 81, Issue 3, 2005, Pages 223-235

  Le Bars, M ^a   Ferrand, N ^a   Attonaty, J M ^a   Pinson, S ^b  

^a CEMAGREF   (France)

^b UNIVERSITÉ PARIS DAUPHINE   (France)

Author keywords

Agent based modeling; irrigation; simulation

Indexed keywords

AGRICULTURE; IRRIGATION; MATHEMATICAL MODELS; MULTI AGENT SYSTEMS; RESOURCE ALLOCATION; WATER RESOURCES; WATER SUPPLY;

AGENT BASED MODELING; AGENT BASED SIMULATION; WATER ALLOCATION;

COMPUTER SIMULATION;

EID: 22244485719     PISSN: 00375497     EISSN: None     Source Type: Journal    
DOI: 10.1177/0037549705053166     Document Type: Article

References (32)

1. Martin, S., L. Maurer, and P. Scherrer. 2000. La gestion volumétrique des irrigations: pratiques actuelles et potentialités. Paris: ENGREF (Ecole Nationale du Génie Rurale Eaux et Forêts).
2. Morardet, S., and S. Hanot. 2000. La gestion volumétrique de l’eau en Beauce: Impact sur les exploitations agricoles. Orléans: Agence de l’Eau Loire-Bretagne.
3. Rieu, T. 1994. Equipements Hydrauliques Collectifs et Réforme de la PAC: des conséquences conflictuelles? In le cas d’un projet de barrage en Charente, edited by V. Palacio, vol. 12, pp. 187-203. Versailles: Actes et Communications INRA.
4. Thoyer, S., S. Morardet, P. Rio, L. Simon, R. Goodhuc, and G. Rausser. 2001. A bargaining model to simulate negotiations between water users. Journal of Artificial Societies and Social Simulation 4: 23. http://jasss.soc.surrey.ac.uk/4/2/6.html
5. Ostrom, E. 1992. Crafting institutions for self-governing irrigation systems. San Francisco: ICS Press.
6. Moss, S. 2001. Game theory: Limitations and an alternative. Journal of Artificial Societies and Social Simulation 4: 17. http://jasss.soc.surrey.ac.uk/4/2/2.html
7. Jennings, N. R., S. Parsons, C. Sierra, and P. Faratin. 2000. Automated negotiation. In 5th International Conference on the Practical Application of Intelligent Agent and Multi-Agent Systems (PAAM-2000), Manchester, UK. http://ccs.mit.edu/peyman/paper.html
8. Malheiro, B., and E. Oliviera. 1995. An intelligent distributed system for environmental management. Environmental Informatics, Methodology and Applications of Environmental Information Processing 6: 355-370.
9. Durfee, E. H. 1999. Multi-agent systems. Cambridge, MA: MIT Press.
10. Brandolese, A., A. Brun, and A. Portioli-Staudacher. 2000. A multi-agent approach for the capacity allocation problem. International Journal of Production Economics 66: 269-285.
11. Doran, J. 2001. Intervening to achieve co-operative ecosystem management: Toward an agent based model. Journal of Artificial Societies an Social Simulation 4: 19. http://jasss.soc.surrey.ac.uk/4/2/2.html
12. Ferber, J. 1997. Les Systèmes Multi-Agents. 2nd ed. Paris: Masson Editeur.
13. O’Hare, G. M. P., and N. R. Jennings. 1996. Foundations of distributed artificial intelligence. New York: John Wiley.
14. Weiss, G., ed. 1999. Multiagent systems. Cambridge, MA: MIT Press.
15. Wooldridge, M., and N. R. Jennings. 1995. Intelligent agents: Theory and practice. Knowledge Engineering Review 10 (2): 115-152.
16. Rao, A., and M. Georgeff. 1995. BDI agents: From theory to practice. In International Conference of MultiAgent Systems (ICMAS), pp. 312-320.
17. Wooldridge, M. 1999. Intelligent agents. In Multiagent systems, edited by G. Weiss. Cambridge, MA: MIT Press.
18. Russel, S. 1999. Rationality and intelligence. Foundations of Rational Agency 14: 11-33.
19. Russel, S., and P. Norvig. 1995. Artificial intelligence: A modern approach. Englewood Cliffs, NJ: Prentice Hall.
20. Wooldridge, M., and P. Ciancarini. 2000. Agent-oriented software engineering: The state of the art. New York: Springer.
21. Simon, H. E., ed. 1947. Administrative behaviour. New York: Macmillan.
22. Durfee, E. H., and S. Moss. 1997. Modelling bounded rationality using evolutionary techniques. In Proceedings AISB’97Workshop on Evolutionary Computation, Manchester, UK, pp. 31-42.
23. Cyert, R. M., and J. G. March. 1963. A behavioural theory of the firm. Englewood Cliffs, NJ: Prentice Hall.
24. Simon, H. E. 1969. The sciences of the artificial. Cambridge, MA: MIT Press.
25. Misra, J. 1986‥ Distributed discrete-event simulation. Computing Surveys 18: 39-65.
26. Rykiel, E. J. 1996. Testing ecological models: The meaning of validation. Ecological Modelling 90: 229-244.
27. Moss, S. 1998. Social simulation models and reality: Three approaches. In (MABS) Multi-Agent Systems and Agent-Based Simulation Workshop, pp. 45-60.
28. 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. http://jasss.soc.surrey.ac.uk/4/2/5.html
29. Donnely, J. R., and A. D. Moore. 1997. Decision support: Delivering the benefits of grazing systems research. In 18th International Grass Congress, Winnipeg, Australia.
30. Pinson, S., J.A. Louça, and P. Moraitis. 1997. A distributed decision support system for strategic planning. Decision Support Systems 20: 35-51.
31. Bousquet, F., O. Barreteau, P. d’Aquino, M. Etienne, S. Boisseau, S. Aubert, C. Le Page, D. Babin, and J.-C. Castella. 2002. Multiagent systems and role games: Collective learning processes for ecosystem management. In Complexity and ecosystem management: The theory and practice of multi-agent systems, edited by M. A. Janssen, 248-285. Cheltenham, UK: Edward Elgar.
32. Barreteau, O. 2003. The joint use of role-playing games and models regarding negotiation processes: Characterization of associations. Journal of Artificial Societies and Social Simulation 6. http://jasss.soc.surrey.ac.uk/6/2/3.html