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1 IDEES - Identité et différenciation des espaces, de l-environnement et des sociétés 2 TAO - Machine Learning and Optimisation LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623 3 LRI - Laboratoire de Recherche en Informatique 4 Pôle SHS - Pôle Sciences Humaines et Sociales 5 CRF - Centre de Recherche sur la Formation 6 DYNAFOR - Dynamiques Forestières dans l-Espace Rural 7 IRIT - Institut de recherche en informatique de Toulouse

Abstract : With the increase of computing power and the development of user-friendly multi-agent simulation frameworks, social simulations have become increasingly realistic. However, most agent architectures in these simulations use simple reactive models. Indeed, cognitive agent architectures face two main obstacles: their complexity for the field-expert modeler, and their computational cost. In this paper, we propose a new cognitive agent architecture based on the BDI Belief-Desire-Intention paradigm integrated into the GAMA modeling platform and its GAML modeling language. This architecture was designed to be simple-to-use for modelers, flexible enough to manage complex behaviors, and with low computational cost. An experiment carried out with different profiles of end-users shows that the architecture is actually usable even by modelers who have little knowledge in programming and in Artificial Intelligence.

Keywords : agent-based simulation BDI architecture GAMA platform





Autor: Patrick Taillandier - Mathieu Bourgais - Philippe Caillou - Carole Adam - Benoit Gaudou -

Fuente: https://hal.archives-ouvertes.fr/



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