Abstract. A theoretical model for agents interaction to study semantic heterogeneity is proposed. The context of this study is informational agents with knowledge bases that are he...
Abstract. One of the main challenges for the successful application of agentbased systems in mobile and embedded devices is enabling application developers to reconcile the needs o...
Virtual environments provide a rich and varied domain for intelligent agents, but questions of design and development in this context are still to be answered. An agent with multip...
This paper introduces a multiagent reinforcement learning algorithm that converges with a given accuracy to stationary Nash equilibria in general-sum discounted stochastic games. ...
Comparing humans and machines is one important source of information about both machine and human strengths and limitations. Most of these comparisons and competitions are performe...
Javier Insa-Cabrera, David L. Dowe, Sergio Espa&nt...