Stochastic Game Strategies and their Applications

Stochastic Game Strategies and their Applications

Author: Bor-Sen Chen

Publisher: CRC Press

Published: 2019-07-31

Total Pages: 333

ISBN-13: 0429780508

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Game theory involves multi-person decision making and differential dynamic game theory has been widely applied to n-person decision making problems, which are stimulated by a vast number of applications. This book addresses the gap to discuss general stochastic n-person noncooperative and cooperative game theory with wide applications to control systems, signal processing systems, communication systems, managements, financial systems, and biological systems. H∞ game strategy, n-person cooperative and noncooperative game strategy are discussed for linear and nonlinear stochastic systems along with some computational algorithms developed to efficiently solve these game strategies.


Stochastic Games and Applications

Stochastic Games and Applications

Author: Abraham Neyman

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 466

ISBN-13: 9401001898

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This volume is based on lectures given at the NATO Advanced Study Institute on "Stochastic Games and Applications," which took place at Stony Brook, NY, USA, July 1999. It gives the editors great pleasure to present it on the occasion of L.S. Shapley's eightieth birthday, and on the fiftieth "birthday" of his seminal paper "Stochastic Games," with which this volume opens. We wish to thank NATO for the grant that made the Institute and this volume possible, and the Center for Game Theory in Economics of the State University of New York at Stony Brook for hosting this event. We also wish to thank the Hebrew University of Jerusalem, Israel, for providing continuing financial support, without which this project would never have been completed. In particular, we are grateful to our editorial assistant Mike Borns, whose work has been indispensable. We also would like to acknowledge the support of the Ecole Poly tech nique, Paris, and the Israel Science Foundation. March 2003 Abraham Neyman and Sylvain Sorin ix STOCHASTIC GAMES L.S. SHAPLEY University of California at Los Angeles Los Angeles, USA 1. Introduction In a stochastic game the play proceeds by steps from position to position, according to transition probabilities controlled jointly by the two players.


Discrete Gambling and Stochastic Games

Discrete Gambling and Stochastic Games

Author: Ashok P. Maitra

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 249

ISBN-13: 1461240026

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The theory of probability began in the seventeenth century with attempts to calculate the odds of winning in certain games of chance. However, it was not until the middle of the twentieth century that mathematicians de veloped general techniques for maximizing the chances of beating a casino or winning against an intelligent opponent. These methods of finding op timal strategies for a player are at the heart of the modern theories of stochastic control and stochastic games. There are numerous applications to engineering and the social sciences, but the liveliest intuition still comes from gambling. The now classic work How to Gamble If You Must: Inequalities for Stochastic Processes by Dubins and Savage (1965) uses gambling termi nology and examples to develop an elegant, deep, and quite general theory of discrete-time stochastic control. A gambler "controls" the stochastic pro cess of his or her successive fortunes by choosing which games to play and what bets to make.


Stochastic Game Strategies and their Applications

Stochastic Game Strategies and their Applications

Author: Bor-Sen Chen

Publisher: CRC Press

Published: 2019-07-31

Total Pages: 600

ISBN-13: 0429780516

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Game theory involves multi-person decision making and differential dynamic game theory has been widely applied to n-person decision making problems, which are stimulated by a vast number of applications. This book addresses the gap to discuss general stochastic n-person noncooperative and cooperative game theory with wide applications to control systems, signal processing systems, communication systems, managements, financial systems, and biological systems. H∞ game strategy, n-person cooperative and noncooperative game strategy are discussed for linear and nonlinear stochastic systems along with some computational algorithms developed to efficiently solve these game strategies.


A Course in Stochastic Game Theory

A Course in Stochastic Game Theory

Author: Eilon Solan

Publisher: Cambridge University Press

Published: 2022-05-26

Total Pages: 279

ISBN-13: 1316516334

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This book for beginning graduate students presents a course on stochastic games and the mathematical methods used in their analysis.


Advances in Dynamic Games

Advances in Dynamic Games

Author: Pierre Cardaliaguet

Publisher: Springer Science & Business Media

Published: 2012-09-10

Total Pages: 425

ISBN-13: 0817683542

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This book focuses on various aspects of dynamic game theory, presenting state-of-the-art research and serving as a testament to the vitality and growth of the field of dynamic games and their applications. Its contributions, written by experts in their respective disciplines, are outgrowths of presentations originally given at the 14th International Symposium of Dynamic Games and Applications held in Banff. Advances in Dynamic Games covers a variety of topics, ranging from evolutionary games, theoretical developments in game theory and algorithmic methods to applications, examples, and analysis in fields as varied as mathematical biology, environmental management, finance and economics, engineering, guidance and control, and social interaction. Featured throughout are valuable tools and resources for researchers, practitioners, and graduate students interested in dynamic games and their applications to mathematics, engineering, economics, and management science.​


Stochastic Differential Games. Theory and Applications

Stochastic Differential Games. Theory and Applications

Author: Kandethody M. Ramachandran

Publisher: Springer Science & Business Media

Published: 2012-01-05

Total Pages: 253

ISBN-13: 9491216473

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The subject theory is important in finance, economics, investment strategies, health sciences, environment, industrial engineering, etc.


Stochastic Games and Related Concepts

Stochastic Games and Related Concepts

Author: T. Parthasarathy

Publisher: Springer Nature

Published: 2020-12-08

Total Pages: 127

ISBN-13: 9811565775

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This book discusses stochastic game theory and related concepts. Topics focused upon in the book include matrix games, finite, infinite, and undiscounted stochastic games, n-player cooperative games, minimax theorem, and more. In addition to important definitions and theorems, the book provides readers with a range of problem-solving techniques and exercises. This book is of value to graduate students and readers of probability and statistics alike.


Game Theory and Applications, Volume 11

Game Theory and Applications, Volume 11

Author: Leon Petrosjan

Publisher: Nova Publishers

Published: 2007

Total Pages: 244

ISBN-13: 9781594549939

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This book brings together papers of well-known specialists in game theory and adjacent problems. It presents the basic results in dynamic games, stochastic games, applications of game theoretical methods in ecology and economics and methodological aspects of game theory.


Markov Decision Processes and Stochastic Positional Games

Markov Decision Processes and Stochastic Positional Games

Author: Dmitrii Lozovanu

Publisher: Springer Nature

Published: 2024-02-13

Total Pages: 412

ISBN-13: 3031401808

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This book presents recent findings and results concerning the solutions of especially finite state-space Markov decision problems and determining Nash equilibria for related stochastic games with average and total expected discounted reward payoffs. In addition, it focuses on a new class of stochastic games: stochastic positional games that extend and generalize the classic deterministic positional games. It presents new algorithmic results on the suitable implementation of quasi-monotonic programming techniques. Moreover, the book presents applications of positional games within a class of multi-objective discrete control problems and hierarchical control problems on networks. Given its scope, the book will benefit all researchers and graduate students who are interested in Markov theory, control theory, optimization and games.