This paper presents a reinforcement learning algorithm used to allocate tasks to agents in an uncertain real-time environment. In such environment, tasks have to be analyzed and a...
Developing interaction rules/protocols among multiple agents is one of the central research topics in multi-agent systems. For cooperative agents, we need to develop protocols so ...
Overhearing is an indirect interaction type that enacts agents to listen to direct interactions among other agents without taking explicit part in the exchanges. In this paper, we ...
Abstract. We introduce a new proof procedure for abductive logic programming and present two soundness results. Our procedure extends that of Fung and Kowalski by integrating abduc...
Ulrich Endriss, Paolo Mancarella, Fariba Sadri, Gi...
This paper presents the Agent Factory Development Methodology, an Agent-Oriented Software Engineering (AOSE) methodology that employs a synthesis of the Unified Modelling Languag...