This paper describes the development of a distributed multi-agent workflow enacting mechanism starting from a BPEL4WS[BPE03] specification. Our work demonstrates that a multi-agent...
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments. A typical example is a case of RoboCup...
Observation is becoming a crucial issue in the engineering of today's systems: the common practice for dealing with their complexity is to encapsulate their subcomponents abs...
The paper focuses on the application of a multi-agent system for a management process. The presented system is working on the structure of graph, where nodes represent decision mod...
Intentions have been widely studied in AI, both in the context of decision-making within individual agents and in multiagent systems. Work on intentions in multi-agent systems has...