DocumentCode
1592826
Title
Reduction of Graphical Model and Genetic Algorithm for Computing Approximate Nash Equilibrium in Static Games
Author
Wei-Yi Liu ; Jin Li ; Kun Yue
Author_Institution
Yunnan Univ., Kunming
Volume
3
fYear
2007
Firstpage
466
Lastpage
470
Abstract
In order to describe the relationship between strategies of various agents, the concepts of the influence degree and the strategy dependency are presented. Accordingly, an approach for reducing a graphical model is given, and the relationship between the discrete degree and the approximate degree is developed, and then the genetic-algorithm-based approach for computing approximate Nash equilibrium is given.
Keywords
game theory; genetic algorithms; multi-agent systems; approximate Nash equilibrium; approximate degree; discrete degree; genetic algorithm; graphical model; influence degree; static games; strategy dependency; Artificial intelligence; Game theory; Genetic algorithms; Genetic engineering; Graphical models; Information science; Marketing and sales; Mathematical model; Nash equilibrium; Probability distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-2875-5
Type
conf
DOI
10.1109/ICNC.2007.601
Filename
4344558
Link To Document