: This paper presents a method called "Situation Matching" that aids to improve cooperative tasks in heterogeneous multi-agent systems. The situation matching (SM) above ...
In this paper, we use a massive modular architecture for the generation of complex behaviours in complex robots within the evolutionary robotics framework. We define two different ...
In multi-agent systems, individual problem solving capabilities can be improved thanks to the interaction with other agents. In the classification problem solving task each agent i...
Abstract. In this paper, we describe a novel agent architecture for normative multiagent systems which is based on multi-context systems. It models the three modalities of Rao and ...