We present an organisation infrastructure for open MultiAgent Systems built upon a role-based access control model (RBAC), which provides agents with means to enable and control a...
This paper proposes a multi-agent system architecture based on introspective agents provided with an expressive communication language and reasoning capabilities on their skills. ...
Multiagent learning attracts much attention in the past few years as it poses very challenging problems. Reinforcement Learning is an appealing solution to the problems that arise...
Ioannis Partalas, Ioannis Feneris, Ioannis P. Vlah...
Recent multi-agent extensions of Q-Learning require knowledge of other agents’ payoffs and Q-functions, and assume game-theoretic play at all times by all other agents. This pap...