Game Theory (Innbundet)

An Introduction

Serie: Wiley Series in Operations Research and Management Science 


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Innbinding: Innbundet
Utgivelsesår: 2013
Antall sider: 574
Forlag: John Wiley & Sons Inc
Språk: Engelsk
Serie: Wiley Series in Operations Research and Management Science
ISBN/EAN: 9781118216934
Omtale Game Theory
An exciting new edition of the popular introduction to game theory and its applications The thoroughly expanded Second Edition presents a unique, hands-on approach to game theory. While most books on the subject are too abstract or too basic for mathematicians, Game Theory: An Introduction, Second Edition offers a blend of theory and applications, allowing readers to use theory and software to create and analyze real-world decision-making models. With a rigorous, yet accessible, treatment of mathematics, the book focuses on results that can be used to determine optimal game strategies. Game Theory: An Introduction, Second Edition demonstrates how to use modern software, such as Maple , Mathematica(R), and Gambit, to create, analyze, and implement effective decision-making models. Coverage includes the main aspects of game theory including the fundamentals of two-person zero-sum games, cooperative games, and population games as well as a large number of examples from various fields, such as economics, transportation, warfare, asset distribution, political science, and biology.
The Second Edition features: A new chapter on extensive games, which greatly expands the implementation of available models New sections on correlated equilibria and exact formulas for three-player cooperative games Many updated topics including threats in bargaining games and evolutionary stable strategies Solutions and methods used to solve all odd-numbered problems A companion website containing the related Maple and Mathematica data sets and code A trusted and proven guide for students of mathematics and economics, Game Theory: An Introduction, Second Edition is also an excellent resource for researchers and practitioners in economics, finance, engineering, operations research, statistics, and computer science.

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