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Introducing Game Theory and its Applications, 2 ed
◆Taylor & Francis セール開催中！：2025年1月26日(日)ご注文分まで
※上記表示の販売価格は割引適用後の価格です 出版済み 3-5週間でお届けいたします。 Series: Advances in Applied Mathematics Author: Mendelson, Elliott / Zwillinger, Daniel Publisher: Taylor & Francis ISBN: 9780367507916 Cover: HARDCOVER Date: 2024年08月 DESCRIPTION This classic text, originally from the noted logician Elliot Mendelson, is intended to be an easy-to-read introduction to the basic ideas and techniques of game theory. It can be used as a class textbook or for self-study. Introducing Game Theory and its Applications, Second Edition presents an easy-to-read introduction to the basic ideas and techniques of game theory. After a brief introduction, the authors begin with a chapter devoted to combinatorial games--a topic neglected or treated minimally in most other texts. The focus then shifts to two-person zero-sum games and their solutions. Here the authors present the simplex method based on linear programming for solving these games and develop within this presentation the required background. The final chapter presents some of the fundamental ideas and tools of non-zero-sum games and games with more than two players, including an introduction to cooperative game theory. The book is suitable for a first undergraduate course in game theory, or a graduate course for students with limited previous exposure. It is useful for students who need to learn some game theory for a related subject (e.g., microeconomics) and have a limited mathematical background. It also prepares its readers for more advanced study of game theory's applications in economics, business, and the physical, biological, and social sciences. The authors hope this book breeds curiosity into the subject and is designed to satisfy the readers. The book will prepare readers for deeper study of game theory applications in many fields of study. TABLE OF CONTENTS 1 Combinatorial games 1.1 Definition of combinatorial games 1.2 Fundamental theorem of combinatorial games 1.3 Nim 1.4 Hex and other games 1.5 Tree games 1.6 Grundy functions 1.7 Bogus Nim-sums 1.8 Chapter summary 2 Two-person zero-sum games 2.1 Games in normal form 2.2 Saddle points and equilibrium pairs 2.3 Maximin and minimax 2.4 Mixed strategies 2.5 2-by-2 matrix games 2.6 2-by-n, m-by-2 and 3-by-3 matrix games 2.7 Linear programming 2.8 Chapter summary 3 Solving two-person zero-sum games using LP 3.1 Perfect canonical linear programming problems 3.2 The simplex method 3.3 Pivoting 3.4 The perfect phase of the simplex method 3.5 The Big M method 3.6 Bland's rules to prevent cycling 3.7 Duality and the simplex method 3.8 Solution of game matrices 3.9 Chapter summary 4 Non-zero-sum games and k-person games 4.1 The general setting 4.2 Nash equilibria 4.3 Graphical method for 2 A- 2 matrix games 4.4 Inadequacies of Nash equilibria & cooperative games 4.5 The Nash arbitration procedure 4.6 Games with two or more players 4.7 Coalitions 4.8 Games in coalition form 4.9 The Shapley value 4.10 The Banzhaf power index 4.11 Imputations 4.12 Strategic equivalence 4.13 Stable sets 4.14 Chapter summary 5 Imperfect Information Games 5.1 The general setting 5.2 Complete information games in extensive form 5.3 Imperfect information games in extensive form 5.4 Games with random effects 5.5 Chapter summary 6 Computer solutions to games 6.1 Zero-sum games - invertible matrices 6.2 Zero sum games - linear program problem (LP) 6.3 Special Linear Programming Capabilities 6.4 Non-zero sum games - linear complementarity problem (LCP) 6.5 Special game packages 6.6 Chapter summary Appendices Appendix A Utility theory Appendix B Nash's theorem Appendix C Finite probability theory Appendix D Calculus & Differentiation Appendix E Linear Algebra Appendix F Linear Programming Appendix G Named Games and Game Data
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