Most research about multi-agent coordination is concentrated at a high level, e.g., developing coordination interaction protocols to be imposed on agents. There has been less conc...
The aim of this paper is to enhance the performance of a reinforcement learning game agent controller, within a dynamic game environment, through the retention of learned informati...
We extend the logical model of agency known as the KGP model, to support agents with normative concepts, based on the roles an agent plays and the obligations and prohibitions tha...
SkeletonAgent is an agent framework whose main feature is to integrate different artificial intelligent skills, like planning or learning, to obtain new behaviours in a multi-agen...
Abstract. This is a position paper reporting the motivations, the starting point and the guidelines that characterise the MERCURIO5 project proposal, submitted to MIUR PRIN 20096 ....