A BDI agent architecture for the GAMA modeling and simulation platform

Patrick Taillandier (1) , Mathieu Bourgais (1) , Philippe Caillou (2, 3) , Carole Adam (4, 5) , Benoit Gaudou (6, 7, 8)

1 IDEES - Identité et Différenciation de l’Espace, de l’Environnement et des Sociétés
2 TAO - Machine Learning and Optimisation
3 LRI - Laboratoire de Recherche en Informatique
4 ENSTA Bretagne_SHS - Département Sciences Humaines et Sociales ENSTA Bretagne
5 CRF - Centre de recherche sur la formation
6 DYNAFOR - Dynamiques Forestières dans l'Espace Rural
7 IRIT-SMAC - Systèmes Multi-Agents Coopératifs
8 UT Capitole - Université Toulouse Capitole

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.

Mots clés: GAMA platform; agent-based simulation; BDI architecture

Domaines: Intelligence artificielle [cs.AI]

Patrick Taillandier, Mathieu Bourgais, Philippe Caillou, Carole Adam, Benoit Gaudou. A BDI agent architecture for the GAMA modeling and simulation platform. MABS 2016 Multi-Agent-Based Simulation, May 2016, Singapore, Singapore. 10 p., ⟨10.3233/978-1-61499-254-7-395⟩. ⟨hal-01391002⟩