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„I highly recommend the superb and very practical textbookGameTheory: An Introduction, Second Edition by E. N. Barron, Ph. D., along with its very useful learning companion book SolutionsManual to Accompany Game Theory: An Introduction, SecondEdition also by E. N. Barron, Ph. D., to any academicinstructors of game theory, especially those who teach a wide rangeof students from many different disciplines. This textbook providesthe foundational aspects of game theory in an approachable andhands on format that will appeal to both professors and studentsalike.“ (Blog Business World, 21September 2013)
An exciting new edition of the popular introduction togame theory and its applications
The thoroughly expanded Second Edition presents a unique, hands-on approach to game theory. While most books on the subjectare too abstract or too basic for mathematicians, Game Theory: An Introduction, Second Edition offers a blend of theory andapplications, allowing readers to use theory and software to createand analyze real-world decision-making models.
With a rigorous, yet accessible, treatment of mathematics, thebook focuses on results that can be used to determine optimal gamestrategies. Game Theory: An Introduction, Second Editiondemonstrates how to use modern software, such as Maple(TM), Mathematica®, and Gambit, to create, analyze, and implementeffective decision-making models. Coverage includes the mainaspects of game theory including the fundamentals of two-personzero-sum games, cooperative games, and population games as well asa large number of examples from various fields, such as economics, transportation, warfare, asset distribution, political science, andbiology. The Second Edition features:
* A new chapter on extensive games, which greatly expands theimplementation of available models
* New sections on correlated equilibria and exact formulasfor three-player cooperative games
* Many updated topics including threats in bargaining gamesand evolutionary stable strategies
* Solutions and methods used to solve all odd-numberedproblems
* A companion website containing the related Maple andMathematica data sets and code
A trusted and proven guide for students of mathematics andeconomics, Game Theory: An Introduction, Second Edition isalso an excellent resource for researchers and practitioners ineconomics, finance, engineering, operations research, statistics, and computer science.
The thoroughly expanded Second Edition presents a unique, hands-on approach to game theory. While most books on the subjectare too abstract or too basic for mathematicians, Game Theory: An Introduction, Second Edition offers a blend of theory andapplications, allowing readers to use theory and software to createand analyze real-world decision-making models.
With a rigorous, yet accessible, treatment of mathematics, thebook focuses on results that can be used to determine optimal gamestrategies. Game Theory: An Introduction, Second Editiondemonstrates how to use modern software, such as Maple(TM), Mathematica®, and Gambit, to create, analyze, and implementeffective decision-making models. Coverage includes the mainaspects of game theory including the fundamentals of two-personzero-sum games, cooperative games, and population games as well asa large number of examples from various fields, such as economics, transportation, warfare, asset distribution, political science, andbiology. The Second Edition features:
* A new chapter on extensive games, which greatly expands theimplementation of available models
* New sections on correlated equilibria and exact formulasfor three-player cooperative games
* Many updated topics including threats in bargaining gamesand evolutionary stable strategies
* Solutions and methods used to solve all odd-numberedproblems
* A companion website containing the related Maple andMathematica data sets and code
A trusted and proven guide for students of mathematics andeconomics, Game Theory: An Introduction, Second Edition isalso an excellent resource for researchers and practitioners ineconomics, finance, engineering, operations research, statistics, and computer science.