This paper introduces a multiagent reinforcement learning algorithm that converges with a given accuracy to stationary Nash equilibria in general-sum discounted stochastic games. ...
Abstract. The emerging technology of interacting systems calls for new forto ensure their reliability. Concurrent games are paradigmatic abstract models for which several logics ha...
— This paper proposes a distributed optimization framework for wireless multihop sensor networks base on a game theoretic approach. We show that the cross-layer optimization prob...
We present a new approach to representing coalitional games based on rules that describe the marginal contributions of the agents. This representation scheme captures characterist...
The Interactive Dilemma is the inevitable conflict between author’s determinism and interactor’s freedom. There are some approaches that try to tackle it, using strategies and...