An Application of Bayesian-Nash Equilibrium Concept in Game theory

2020 ◽  
Vol 14 (4) ◽  
2021 ◽  
Author(s):  
Michael Richter ◽  
Ariel Rubinstein

Abstract Each member of a group chooses a position and has preferences regarding his chosen position. The group’s harmony depends on the profile of chosen positions meeting a specific condition. We analyse a solution concept (Richter and Rubinstein, 2020) based on a permissible set of individual positions, which plays a role analogous to that of prices in competitive equilibrium. Given the permissible set, members choose their most preferred position. The set is tightened if the chosen positions are inharmonious and relaxed if the restrictions are unnecessary. This new equilibrium concept yields more attractive outcomes than does Nash equilibrium in the corresponding game.


1996 ◽  
Vol 12 (1) ◽  
pp. 67-88 ◽  
Author(s):  
Hans Jørgen Jacobsen

The most important analytical tool in non-cooperative game theory is the concept of a Nash equilibrium, which is a collection of possibly mixed strategies, one for each player, with the property that each player's strategy is a best reply to the strategies of the other players. If we do not go into normative game theory, which concerns itself with the recommendation of strategies, and focus instead entirely on the positive theory of prediction, two alternative interpretations of the Nash equilibrium concept are predominantly available.In the more traditional one, a Nash equilibrium is a prediction of actual play. A game may not have a Nash equilibrium in pure strategies, and a mixed strategy equilibrium may be difficult to incorporate into this interpretation if it involves the idea of actual randomization over equally good pure strategies. In another interpretation originating from Harsanyi (1973a), see also Rubinstein (1991), and Aumann and Brandenburger (1991), a Nash equilibrium is a ‘consistent’ collection of probabilistic expectations, conjectures, on the players. It is consistent in the sense that for each player each pure strategy, which has positive probability according to the conjecture about that player, is indeed a best reply to the conjectures about others.


1999 ◽  
Vol 32 (2) ◽  
pp. 8539-8544
Author(s):  
Kotaro Hirasawa ◽  
Jinglu Hu ◽  
Yusuke Yamamoto ◽  
Chunzhi Jin ◽  
Yurio Eki

Author(s):  
Herbert Gintis

This chapter summarizes the book's main points, covering game theory, the commonality of beliefs, the limits of rationality, social norms as correlated equilibria, and how reason is bounded by sociality, not irrationality. Among the conclusions are that game theory is an indispensable tool in modeling human behavior. Behavioral disciplines that reject or peripheralize game theory are theoretically handicapped. The Nash equilibrium is not the appropriate equilibrium concept for social theory. The correlated equilibrium is the appropriate equilibrium concept for a set of rational individuals having common priors. Social norms are correlated equilibria. The behavioral disciplines today have four incompatible models of human behavior. The behavioral sciences must develop a unified model of choice that eliminates these incompatibilities and that can be specialized in different ways to meet the heterogeneous needs of the various disciplines.


2013 ◽  
Vol 850-851 ◽  
pp. 1044-1047
Author(s):  
Hai Dong Yu

The paper studied the game strategy decisions of alliance leader and members in collaborative information seeking. Based on basic Nash equilibrium model with complete information, it researched Bayesian-Nash equilibrium under incomplete information condition which further implied that the incompleteness of information had effected on the alliance leader’s compensation policy. Furthermore, it revealed a methodology to analyze the stability of Bayesian-Nash equilibrium and gave a detailed algorithm. It provided a framework to systematically explore the relationships between alliance leader and other members while solving work tasks in collaboration.


1997 ◽  
Vol 11 (1) ◽  
pp. 127-149 ◽  
Author(s):  
Robert Gibbons

This paper offers an introduction to game theory for applied economists. The author gives simple definitions and intuitive examples of four kinds of games and their corresponding solution concepts: Nash equilibrium in static games of complete information; subgame-perfect Nash equilibrium in dynamic games of complete information; Bayesian Nash equilibrium in static games with incomplete (or 'private') information; and perfect Bayesian (or sequential) equilibrium in dynamic games with incomplete information. The main theme of the paper is that there are important differences among the games but important similarities among the solution concepts.


Games ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 7
Author(s):  
Vassili N. Kolokoltsov

Quantum games and mean-field games (MFG) represent two important new branches of game theory. In a recent paper the author developed quantum MFGs merging these two branches. These quantum MFGs were based on the theory of continuous quantum observations and filtering of diffusive type. In the present paper we develop the analogous quantum MFG theory based on continuous quantum observations and filtering of counting type. However, proving existence and uniqueness of the solutions for resulting limiting forward-backward system based on jump-type processes on manifolds seems to be more complicated than for diffusions. In this paper we only prove that if a solution exists, then it gives an ϵ-Nash equilibrium for the corresponding N-player quantum game. The existence of solutions is suggested as an interesting open problem.


Author(s):  
Pranjal Pragya Verma ◽  
Mohammad Hesamzadeh ◽  
Ross Baldick ◽  
Darryl Biggar ◽  
K. Shanti Swarup ◽  
...  

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