Introducing Game Theory and its Applications

Preface Introduction 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 × 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 Answers to selected exercises Bibliography Index