Our research deals with the design of a training system to support decision-making in the preparation and the management of maintenance interventions in high-risk industries namely...
Lydie Edward, Domitile Lourdeaux, Jean-Paul A. Bar...
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
A major challenge in robotics and artificial intelligence lies in creating robots that are to cooperate with people in human-populated environments, e.g. for domestic assistance ...
Being able to ensure that a multiagent system will not generate undesirable behaviors is essential within the context of critical applications (embedded systems or real-time system...
Caroline Chopinaud, Amal El Fallah-Seghrouchni, Pa...
This paper presents ELMS, a language used for the specification of multi-agent environments. This language is part of the MAS-SOC approach to the design and implementation of mult...