Title :
Bayesian games with ambiguous type players
Author :
Youzhi Zhang ; Xudong Luo ; Wenjun Ma ; Ho-Fung Leung
Author_Institution :
Inst. of Logic & Cognition, Sun Yat-sen Univ., Guangzhou, China
Abstract :
Bayesian games can handle the incomplete information about players´ types. However, in real life, the information could be not only incomplete but also ambiguous for lack of sufficient evidence, i.e., a player cannot have a probability precisely about each type of the other players. To address this issue, we extend the Bayesian games to ambiguous Bayesian games. We also illustrate and analyse our game model.
Keywords :
belief networks; game theory; inference mechanisms; uncertainty handling; Bayesian games; ambiguous type players; probability; Bayes methods; Educational institutions; Games; Nash equilibrium; Probability distribution; Security; Weapons;
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-2073-0
DOI :
10.1109/FUZZ-IEEE.2014.6891576