The design of deterministic and fair mechanisms for selection among a set of self-motivated agents based solely on these agents' input is a major challenge in multiagent syst...
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 ...
In the last few years, argumentation frameworks have been successfully applied to multi agent systems. Recently, argumentation has been used to provide a framework for reasoning a...
In repeated games with incomplete information, rational agents must carefully weigh the tradeoffs of advantageously exploiting their information to achieve a short-term gain versu...
In this paper, we investigate multi-agent learning (MAL) in a multi-agent resource selection problem (MARS) in which a large group of agents are competing for common resources. Si...