Now in its second edition, this popular textbook on game theory is unrivalled in the breadth of its coverage, the thoroughness of technical explanations and the number of worked examples included. Covering non-cooperative and cooperative games, this introduction to game theory includes advanced chapters on auctions, games with incomplete information, games with vector payoffs, stable matchings and the bargaining set. This edition contains new material on stochastic games, rationalizability, and the continuity of the set of equilibrium points with respect to the data of the game. The material is presented clearly and every concept is illustrated with concrete examples from a range of disciplines. With numerous exercises, and the addition of a solution manual for instructors with this edition, the book is an extensive guide to game theory for undergraduate through graduate courses in economics, mathematics, computer science, engineering and life sciences, and will also serve as useful reference for researchers.
I have a background in physics - this book reads considerably easier than any rigorous physics text. That being said, some of the notation may look intimidating or unfamiliar to non math majors (myself included) but it is immediately followed by apt descriptions of concepts. A background in combinatorics, set theory, discrete math, etc will help - but I have none of those and have been able to make it through. Anyone looking to insert practical game theory principles into their work will find this text to be a fantastic, practical guide.
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