Coalitional game with opinion exchange
Author(s)Jiang, Bomin; Roozbehani, Mardavij; Dahleh, Munther A
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In coalitional games, traditional coalitional game theory does not apply if different participants hold different opinions about the payoff function that corresponds to each subset of the coalition. In this paper, we propose a framework in which players can exchange opinions about their views of payoff functions and then decide the distribution of the value of the grand coalition. When all players are truth-telling, the problem of opinion consensus is decoupled from the coalitional game, but interesting dynamics will arise when players are strategic in the consensus phase. Assuming that all players are rational, the model implies that, if influential players are risk-averse, an efficient fusion of the distributed data is achieved at pure strategy Nash equilibrium, meaning that the average opinion will not drift. Also, without the assumption that all players are rational, each player can use an algorithmic R-learning process, which gives the same result as the pure strategy Nash equilibrium with rational players.
DepartmentMIT Schwarzmann College of Computing
IEEE 56th Annual Conference on Decision and Control (CDC)
Institute of Electrical and Electronics Engineers (IEEE)
Jiang, Bomin et al. "Coalitional game with opinion exchange." IEEE 56th Annual Conference on Decision and Control (CDC), December 2017, Melbourne, Australia, Institute of Electrical and Electronics Engineers, January 2018. © 2017 IEEE