Agent competition and coordination are two classical and most important tasks in multiagent systems. In recent years, there was a number of learning algorithms proposed to resolve ...
This paper reviews FreeWill and other AI architectures that have contributed to the ideas, which underlie it. “FreeWill” proposes and implements a cognitive architecture design...
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
Abstract. Until recently, computational aspects of the Shapley value were only studied under the assumption that there are no externalities from coalition formation, i.e., that the...
Tomasz P. Michalak, Talal Rahwan, Dorota Marciniak...
We study Coalitional Resource Games (CRGs), a variation of Qualitative Coalitional Games (QCGs) in which each agent is endowed with a set of resources, and the ability of a coalit...