S-DLCAM: A Self-Design and Learning Cooperative Agent Model for Adaptive Multi-Agent Systems

Wafa Mefteh Mejri (1, 2) , Frédéric Migeon (1) , Marie-Pierre Gleizes (1) , Faiez Gargouri (2)

1 IRIT-SMAC - Systèmes Multi-Agents Coopératifs
2 MIRACL - Multimedia, InfoRmation systems and Advanced Computing Laboratory

Given the incomplete knowledge that an Adaptive Multi Agent System (AMAS) has on its dynamic environment, the detection and the correction of problems encountered called Non Cooperative Situations for the construction of the good behaviour of the AMAS agent can challenge even the most experienced designer. Our goal is to help the AMAS designer in his task by providing an agent behaviour able to self-design. In this paper, we propose a self-design and learning cooperative agent model.

Mots clés: Cooperative Agent; Self-Design and Learning Cooperative Agent Model; Adaptive Multi-Agent Systems

Domaines: Système multi-agents [cs.MA]

Wafa Mefteh Mejri, Frédéric Migeon, Marie-Pierre Gleizes, Faiez Gargouri. S-DLCAM: A Self-Design and Learning Cooperative Agent Model for Adaptive Multi-Agent Systems. 22nd Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises @ WETICE 2013, Jun 2013, Hammamet, Tunisia. pp.39-41, ⟨10.1109/WETICE.2013.58⟩. ⟨hal-01148192⟩