Multiagent systems (MAS) research is well established yet there is little development of agent technology in industry. It has been suggested that this is due, in part, to the unav...
Multiagent Bayesian networks (MABNs) are a powerful new framework for uncertainty management in a distributed environment. In a MABN, a collective joint probability distribution i...
A gradient-based method for both symmetric and asymmetric multiagent reinforcement learning is introduced in this paper. Symmetric multiagent reinforcement learning addresses the ...
In this paper, we describe a framework to program open societies of concurrently operating agents. The agents maintain a subjective theory about their environment and interact with...
Rogier M. van Eijk, Frank S. de Boer, Wiebe van de...
Cooperation and learning are two ways in which an agent can improve its performance. Cooperative Multiagent Learning is a framework to analyze the tradeoff between cooperation and ...