We argue that it is useful to study classes of Multi-Agent System (MAS) architectures, corresponding to architectural styles in addition to particular tures. In this work we focus ...
Paul Davidsson, Stefan J. Johansson, Mikael Svahnb...
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
There is a growing demand for Multi-Agent Systems (MAS) in the software industry. The autonomous agent interaction in a dynamic software environment can potentially lead to runtim...
In many Multi-Agent Systems (MAS), agents (even if selfinterested) need to cooperate in order to maximize their own utilities. Most of the multi-agent learning algorithms focus on...
Jose Enrique Munoz de Cote, Alessandro Lazaric, Ma...
In the complex, dynamic domain of Air Traffic Control (ATC) many unexpected events can happen during the execution of a plan. Sometimes these disruptions make the plan infeasible ...