In order to prevent misunderstandings within groups of interacting agents, it is necessary to ensure that the agents' beliefs regarding the overall state of the interaction a...
Hywel R. Dunn-Davies, Jim Cunningham, Shamimabi Pa...
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. Software agents are a promising technology for today's complex, distributed systems. Methodologies and techniques that address testing and reliability of multi agent...
Normative environments are used to regulate multiagent interactions. In business encounters, agents representing business entities make contracts including norms that prescribe wh...
An original Reinforcement Learning (RL) methodology is proposed for the design of multi-agent systems. In the realistic setting of situated agents with local perception, the task o...