In this paper we describe an integrated multilevel learning approach to multiagent coalition formation in a real-time environment. In our domain, agents negotiate to form teams to...
The first part of this paper presents a coalition formation method for multi-agent systems which finds a Pareto optimal solution without aggregating the preferences of the agents. ...
An important task in the analysis of multiagent systems is to understand how groups of selfish players can form coalitions, i.e., work together in teams. In this paper, we study t...
John Augustine, Ning Chen, Edith Elkind, Angelo Fa...
In farsighted MAS, every agent is aware of each other, and so they can evaluate the outcomes of their interaction in an efficient way. However, this farsighted knowledge becomes an...
This paper presents a framework for describing the spatial distribution and the global frequency of agents who play the spatial prisoner’s dilemma with coalition formation. The ...