Title :
On the stable degree of strategy profile in finite evolutionary networked games
Author :
Peilian Guo ; Yuzhen Wang ; Haitao Li
Author_Institution :
Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
Abstract :
This paper investigates the stable degree of strategy profile in evolutionary networked games by using the semi-tensor product method. First, based on a normal evolutionary networked game model, the concept for k-degree stability of strategy profile is proposed. Second, using the semi-tensor product of matrices, the game dynamics with “best imitate” strategy updating rule is converted into an algebraic form. Third, the stable degree of strategy profile is analyzed and a necessary and sufficient condition for k-degree stability of strategy profile is obtained. Meanwhile, an algorithm is presented to verify the stable degree of strategy profile. The study of an illustrative example shows that the new results obtained are effective.
Keywords :
evolutionary computation; game theory; tensors; algebraic form; best imitate strategy updating rule; finite evolutionary networked games; k-degree stability of strategy profile; matrices semitensor product; semitensor product method; stable degree of strategy profile; Asymptotic stability; Games; Matrix converters; Sociology; Stability analysis; Statistics; Tin; Evolutionary networked game; Semi-tensor product of matrices; Stable degree; Strategy profiles;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6897019