A situated BDI agent architecture for the GAMA modelling and simulation platform

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

1 MIAT INRA - Unité de Mathématiques et Informatique Appliquées de Toulouse
2 LITIS - Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes
3 LRI - Laboratoire de Recherche en Informatique
4 ADELE - Environnements et outils pour le Génie Logiciel Industriel
5 IRIT-SMAC - Systèmes Multi-Agents Coopératifs
6 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: Agent-based simulation; BDI architecture; GAMA platform

Domaines: Modélisation et simulation

Patrick Taillandier, Mathieu Bourgais, Philippe Caillou, Carole Adam, Benoit Gaudou. A situated BDI agent architecture for the GAMA modelling and simulation platform. 17th International Workshop on Multi-Agent-Based Simulation (MABS 2016) at AAMAS 2016, May 2016, Singapore, Singapore. pp. 3-23. ⟨hal-01690132⟩