Intentional agent systems are increasingly being used in a wide range of complex applications. Capabilities has recently been introduced into some of these systems as a software en...
Communication between agents needs to be flexible enough to encompass together a variety of different aspects such as, conformance to society protocols, private tactics of the indi...
In this paper, we focus on the coordination issues in a multiagent setting. Two coordination algorithms based on reinforcement learning are presented and theoretically analyzed. O...
One of the most difficult problems in Multi-Agent Systems (MAS) involves representing the knowledge and beliefs of an agent which performs its tasks in a dynamic environment. New p...
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...
Spurred by a range of potential applications, there has been a growing body of research in computational models of human emotion. To advance the development of these models, it is...
In this article, we expose our research program in bio-affective-social computing aimed at guiding and participating to the development of multimodal socially intelligent agents in...
—This paper details a learning decision-theoretic intelligent agent designed to solve the problem of guiding vehicles in the context of Personal Rapid Transit (PRT). The intellig...
— Intelligent Agents have originated a lot of discussion about what they are, and how they are different from general programs. We describe in this paper a new paradigm for intel...