We argue that learning equilibrium is an appropriate generalization to multi-agent systems of the concept of learning to optimize in single-agent sett...
This study extends the framework of partially observable Markov decision processes (POMDPs) to allow their parameters, i.e., the probability values i...
Teamwork demands agreement among team-members in order to collaborate and coordinate effectively. When a disagreement between teammates occurs (due to...
In this paper, we show that the models of random CSP instances proposed by Xu and Li [K. Xu, W. Li, Exact phase transitions in random constraint satis...
The process of forming coalitions of software agents generally requires calculating a value for every possible coalition which indicates how beneficia...
