NDLI: On networked non-cooperative games — A semi-tensor product approach

Content Provider	IEEE Xplore Digital Library
Author	Daizhan Cheng Fenghua He Tingting Xu
Copyright Year	2013
Description	Author affiliation: Inst. of Astronaut., Harbin Inst. of Technol., Harbin, China (Fenghua He) \|\| Inst. of Syst. Sci., Beijing, China (Daizhan Cheng; Tingting Xu)
Abstract	The networked competitive games are investigated, where each player (or agent) plays with all other players in his neighborhood. Assume the evolution is based on the fact that players use local strategy, that is, each player's strategy depends on the previous information of its neighborhood players, including strategies and payoffs. Using sub-neighborhood, the dynamics of the evolution is obtained. Then Formula for calculating Nash equilibrium from mixed strategies of multi-players is proposed. The relationship between local Nash equilibriums on individual neighborhoods and global Nash equilibriums of overall network is revealed. Certain related properties are investigated. The basic tool of this approach is the semi-tensor product of matrices, which converts the strategies into logical matrices, the payoffs into pseudo-Boolean functions, and the evolutionary games become discrete time dynamic systems.
Starting Page	1
Ending Page	6
File Size	728918
Page Count	6
File Format	PDF
ISBN	9781467357678
e-ISBN	9781467357692
DOI	10.1109/ASCC.2013.6606222
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-23
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Evolution (biology) Semi-tensor Product Networked Non-cooperative Game Local strategy Nash Equilibrium Games Artificial neural networks Nash equilibrium Probabilistic logic Silicon Vectors Sub-neighborhood
Content Type	Text
Resource Type	Article

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