This paper introduces a peer-to-peer agent framework for supporting autonomic applications in decentralized distributed environments. The framework provides agents to discover, co...
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...
Successful interaction between autonomous agents is contingent on those agents making decisions consistent with the expectations of their peers -- these expectations are based on ...
Abstract. This paper presents a general multi-agent architecture for the management of businessprocesses,and an agent designthat has been implemented within such a system. The auto...
Timothy J. Norman, Nicholas R. Jennings, Peyman Fa...
In this paper we present Mob, a service-oriented scripting language for programming mobile agents in distributed systems. The main feature of the language is the integration of th...