A BDI agent architecture for the GAMA modeling and simulation platform

Taillandier, Patrick; Bourgais, Mathieu; Caillou, Philippe; Adam, Carole; Gaudou, Benoit

Document type :

Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes

DOI :

10.1007/978-3-319-67477-3_1

Title :

A BDI agent architecture for the GAMA modeling and simulation platform

Author(s) :

Taillandier, Patrick [Auteur]
Identité et Différenciation de l’Espace, de l’Environnement et des Sociétés [IDEES]
Bourgais, Mathieu [Auteur]
Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes [LITIS]
Identité et Différenciation de l’Espace, de l’Environnement et des Sociétés [IDEES]
Caillou, Philippe [Auteur]
Laboratoire de Recherche en Informatique [LRI]
Adam, Carole [Auteur]
Laboratoire d'Informatique de Grenoble [LIG ]
Gaudou, Benoit [Auteur]
Systèmes Multi-Agents et Comportements [SMAC]

Conference title :

MABS 2016 - 17th International Workshop on Multi-Agent-Based Simulation

City :

Singapour

Country :

Singapour

Start date of the conference :

2016-05-10

Publisher :

Springer International Publishing

Publication date :

2016

Keyword(s) :

BDI architecture

English keyword(s) :

Agent-based simulation
GAMA platform

HAL domain(s) :

Sciences du Vivant [q-bio]

English abstract : [en]

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 ...
Show more >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.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

ANR Project :

Agents Cognitifs Territorialisés pour l'Etude des dynamiques Urbaines et des Risques

Collections :