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Game Theory. : An Introduction. 2nd ed. ゲーム理論－入門 第2版
・ISBN 978-1-118-21693-4 hard US$ 128.95
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電子版あり 大学・学術機関向け電子ブック（eBook）ISBN 978-1-118-54716-8
| 著者・編者 | Barron, E. N., |
|---|---|
| シリーズ | Wiley Series in Operations Research and Management Science |
| 出版社 | (Wiley, US) |
| 出版年月 | 2013 |
| ページ数 | 834 pp. |
| 言語 | ENG |
| ニュース番号 | ＜604-370＞ |
解説
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 (TM), 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.