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...
Social learning is a mechanism that allows individuals to acquire knowledge from others without incurring the costs of acquiring it individually. Individuals that learn socially c...
To ensure multi-agent based simulation models reproducibility, particular attention must be payed on its possible implementation ambiguities. This concerns every aspect of simulat...