An approach to handle the complex dynamics of a multi-agent system is based on distinguishing aggregation levels by structuring the system into parts or components. The behavior of...
: We present an implementation of a multi-agent system whose goal is to solve the problem of tacit knowledge transfer by means of sharing of experiences. In particular, we consider...
Enrico Blanzieri, Paolo Giorgini, Claudio Zanoni, ...
We consider a multi-agent system where each agent is equipped with a Bayesian network, and present an open framework for the agents to agree on a possible consensus network. The f...
Agent based workflow systems are being discussed by many researchers for a long time. In this paper we present a new collaborative approach for workflow systems. Agents collaborate...
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...