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Matrix Games, Mixed Strategies, and Statistical Mechanics

Johannes Berg, +1 more
- 30 Nov 1998 - 
- Vol. 81, Iss: 22, pp 4999-5002
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TLDR
In this article, the statistical properties of optimal mixed strategies of large matrix games with random payoff matrices were investigated and analytical expressions for the value of the game and the distribution of strategy strengths were derived.
Abstract
Matrix games constitute a fundamental problem of game theory and describe a situation of two players with completely conflicting interests. We show how methods from statistical mechanics can be used to investigate the statistical properties of optimal mixed strategies of large matrix games with random payoff matrices and derive analytical expressions for the value of the game and the distribution of strategy strengths. In particular the fraction of pure strategies not contributing to the optimal mixed strategy of a player is calculated. Both independently distributed as well as correlated elements of the payoff matrix are considered and the results are compared with numerical simulations.

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Evolutionary games on graphs

György Szabó, +1 more
- 01 Jul 2007 - 
TL;DR: The major theme of the review is in what sense and how the graph structure of interactions can modify and enrich the picture of long term behavioral patterns emerging in evolutionary games.
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An introduction to collective intelligence

David H. Wolpert, +1 more
- 17 Aug 1999 - 
TL;DR: This paper surveys the emerging science of how to design a “COllective INtelligence” (COIN) and introduces an entirely new, profound design problem: Assuming the RL algorithms are able to achieve high rewards, what reward functions for the individual agents will result in high world utility?
Journal ArticleDOI

Evolutionary game dynamics in a growing structured population

TL;DR: In this article, a model for evolutionary game dynamics in a growing, network-structured population is discussed, where new players can either make connections to random preexisting players or preferentially attach to those that have been successful in the past.
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Fixation times in evolutionary games under weak selection

TL;DR: It is shown analytically that these mean exit times depend on the payoff matrix of the game in an amazingly simple way under weak selection, i.e. strong stochasticity.
Journal ArticleDOI

Statistical mechanics of competitive resource allocation using agent-based models

TL;DR: A broad spectrum of multi-agent models of competition and the methods used to understand them analytically are reviewed in this paper, where the power of concepts and tools from statistical mechanics to understand and explain fully collective phenomena such as phase transitions and long memory, and the mapping between agent heterogeneity and physical disorder are discussed.
References
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Book

The Evolution of Cooperation

TL;DR: In this paper, a model based on the concept of an evolutionarily stable strategy in the context of the Prisoner's Dilemma game was developed for cooperation in organisms, and the results of a computer tournament showed how cooperation based on reciprocity can get started in an asocial world, can thrive while interacting with a wide range of other strategies, and can resist invasion once fully established.
Journal ArticleDOI

The Evolution of Cooperation

TL;DR: A model is developed based on the concept of an evolutionarily stable strategy in the context of the Prisoner's Dilemma game to show how cooperation based on reciprocity can get started in an asocial world, can thrive while interacting with a wide range of other strategies, and can resist invasion once fully established.
Book

Products of random matrices in statistical physics

TL;DR: In this paper, the authors present a method for the computation of the Lyapunov exponent of PRM in the context of one-dimensional ising models and localization in two and three dimensions.
Book

The theory of games

Jianhua Wang
Abstract: Part 1 Matrix games: introduction matrix games saddle points mixed strategies the Minimax theorem inductive proof of the Minimax theorem saddle points in mixed strategies optimal strategies and their properties domination of strategies solution of 2 x 2 matrix games graphical solution of 2 x n and m x 2 matrix games solution of 3 x 3 matrix games matrix games and linear programming. Part 2 Continuous games: zero-sum two-person infinitive games mixed strategies continuous games properties of optimal strategies convex games separable games an example of a game of timing. Part 3 N-person non-co-operative games: introduction existence of equilibrium point - Nash's theorem equilibrium points of 2 x 2 bimatrix games. Part 4 N-person co-operative games: introduction properties of characteristic functions imputations strategic equivalence and (0.1) normalization two-person co-operative games domination of imputations - three person co-operative games the core of a co-operative game stable sets of co-operative games pre-imputations and strong E-cores the kernel of a co-operative game the nucleolus of a co-operative game shapley value. References. Index.
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