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Communication Dans Un Congrès Année : 2016

A BDI agent architecture for the GAMA modeling and simulation platform

Résumé

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.

Dates et versions

hal-02744133 , version 1 (03-06-2020)

Identifiants

Citer

Patrick Taillandier, Mathieu Bourgais, Philippe Caillou, Carole Adam, Benoit Gaudou. A BDI agent architecture for the GAMA modeling and simulation platform. MABS 2016 - 17th International Workshop on Multi-Agent-Based Simulation, May 2016, Singapour, Singapore. 155 p., ⟨10.1007/978-3-319-67477-3_1⟩. ⟨hal-02744133⟩
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