Multiagent learning di ers from standard machine learning in that most existing learning methods assume that all knowledge is available locally in a single agent. In multiagent sy...
As heterogeneous distributed systems, multi-agent systems present some challenging con guration management issues. There are the problems of knowing how to allocate agents to comp...
Joseph A. Giampapa, Octavio H. Juarez-Espinosa, Ka...
Abstract. The interest in the area of non-monotonic reasoning and declarative logic programming is growing rapidly after the recent development of a number of Answer Set Programmin...
Agent-based approaches to manufacturing scheduling and control have gained increasing attention in recent years. Such approaches are attractive because they o er increased robustn...