Abstract
In this paper we present a framework called Simulación designed to drive multi-agent based participatory simulations on various scales. Such simulations are defined as simulations where human actors and autonomous agents play similar roles. With Simulación, each participant sits at a computer and interacts with an agent running on it. Humans and agents are paired and the agents can be considered as gates to the simulation, interacting together.
Using Simulación, we were able to conduct experiments over both local area networks and wide area networks. We were thus allowed to measure the requirements for participatory simulations led across laboratory and local area network boundaries. We also present how we started making the agents within these simulations as autonomous as possible, targeting large-scale and wide area experiments.
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References
Barreteau, O., Bousquet, F., Attonaty, J.M.: 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 (2001)
Bousquet, F., Barreteau, O., d’Aquino, P., Etienne, M., Boissau, S., Aubert, S., Le Page, C., Babin, D., Castella, J.C.: Multi-agent systems and role games: Collective learning processes for ecosystem management. In: Janssen, M. (ed.) Complexity and Ecosystem Management: The Theory and Practice of Multi-agent Approaches, pp. 248–285. Edward Elgar Publishers (2002)
Boissau, S., Lan Anh, H., Castella, J.C.: The samba role play game in northern vietnam : An innovative approach to participatory natural resource management. Mountain Research and Development 24, 101–105 (2004)
Drogoul, A., Meurisse, T., Vanberge, D.: Multi-agent based simulations: Where are the agents? In: Sichman, J.S., Bousquet, F., Davidsson, P. (eds.) MABS 2002. LNCS (LNAI), vol. 2581, pp. 1–15. Springer, Heidelberg (2003)
Guyot, P., Drogoul, A.: Designing multi-agent based participatory simulations. In: Coelho, H., Espinasse, B. (eds.) Proceedings of 5th Workshop on Agent Based Simulations, pp. 32–37. SCS Publishing House, Erlangen (2004)
Guyot, P.: Simulations multi-agents participatives: Vers une méthode de validation et de consolidation des modèles de pratiques collectives. Master’s thesis, Université Pierre et Marie Curie (2003)
Arthur, B.: Inductive reasoning and bounded rationality. American Economic Review 84, 406–411 (1994)
Edmonds, B.: Gossip, sexual recombination and the el farol bar: modelling the emergence of heterogeneity. Journal of Artificial Societies and Social Simulation 2 (1999)
Ishida, T.: Q: A scenario description language for interactive agents. IEEE Computer 35, 54–59 (2002)
Montana, D.J.: Strongly typed genetic programming. BBN Technical Report #7866, Bolt Beranek and Newman, Inc (1993)
Kirshenbaum, E.: Genetic programming with statically scoped local variables. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2000, pp. 459–468. Morgan Kaufmann, San Francisco (2000)
Koza, J.R.: Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge (1992)
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Guyot, P., Drogoul, A. (2005). Multi-agent Based Participatory Simulations on Various Scales. In: Ishida, T., Gasser, L., Nakashima, H. (eds) Massively Multi-Agent Systems I. MMAS 2004. Lecture Notes in Computer Science(), vol 3446. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11512073_11
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DOI: https://doi.org/10.1007/11512073_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26974-8
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