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A Matrix Approach to the Modeling and Analysis of Networked Evolutionary Games With Time Delays
Authors:Guodong Zhao  Yuzhen Wang  Haitao Li
Affiliation:1.School of Mathematics and Statistics, Shandong Normal University, Jinan 250014, China2.School of Control Science and Engineering, Shandong University, Jinan 250061, China
Abstract:Using the semi-tensor product method, this paper investigates the modeling and analysis of networked evolutionary games (NEGs) with finite memories, and presents a number of new results. Firstly, a kind of algebraic expression is formulated for the networked evolutionary games with finite memories, based on which the behavior of the corresponding evolutionary game is analyzed. Secondly, under a proper assumption, the existence of Nash equilibrium of the given networked evolutionary games is proved and a free-type strategy sequence is designed for the convergence to the Nash equilibrium. Finally, an illustrative example is worked out to support the obtained new results. 
Keywords:Fictitious play process  Nash equilibrium  networked evolutionary games (NEGs)  semi-tensor product of matrices
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