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An Introduction to Game-Theoretic Modelling: Third Edition
 
Mike Mesterton-Gibbons Florida State University, Tallahassee, FL
Front Cover for An Introduction to Game-Theoretic Modelling
Available Formats:
Hardcover ISBN: 978-1-4704-5029-8
Product Code: AMSTEXT/37
395 pp 
List Price: $82.00
MAA Member Price: $73.80
AMS Member Price: $65.60
Electronic ISBN: 978-1-4704-5287-2
Product Code: AMSTEXT/37.E
395 pp 
List Price: $82.00
MAA Member Price: $73.80
AMS Member Price: $65.60
Bundle Print and Electronic Formats and Save!
This product is available for purchase as a bundle. Purchasing as a bundle enables you to save on the electronic version.
List Price: $123.00
MAA Member Price: $110.70
AMS Member Price: $98.40
Front Cover for An Introduction to Game-Theoretic Modelling
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  • Front Cover for An Introduction to Game-Theoretic Modelling
  • Back Cover for An Introduction to Game-Theoretic Modelling
An Introduction to Game-Theoretic Modelling: Third Edition
Mike Mesterton-Gibbons Florida State University, Tallahassee, FL
Available Formats:
Hardcover ISBN:  978-1-4704-5029-8
Product Code:  AMSTEXT/37
395 pp 
List Price: $82.00
MAA Member Price: $73.80
AMS Member Price: $65.60
Electronic ISBN:  978-1-4704-5287-2
Product Code:  AMSTEXT/37.E
395 pp 
List Price: $82.00
MAA Member Price: $73.80
AMS Member Price: $65.60
Bundle Print and Electronic Formats and Save!
This product is available for purchase as a bundle. Purchasing as a bundle enables you to save on the electronic version.
List Price: $123.00
MAA Member Price: $110.70
AMS Member Price: $98.40
  • Book Details
     
     
    Pure and Applied Undergraduate Texts
    Volume: 372019
    MSC: Primary 91; Secondary 92;

    This book introduces game theory and its applications from an applied mathematician's perspective, systematically developing tools and concepts for game-theoretic modelling in the life and social sciences. Filled with down-to-earth examples of strategic behavior in humans and other animals, the book presents a unified account of the central ideas of both classical and evolutionary game theory. Unlike many books on game theory, which focus on mathematical and recreational aspects of the subject, this book emphasizes using games to answer questions of current scientific interest.

    In the present third edition, the author has added substantial new material on evolutionarily stable strategies and their use in behavioral ecology. The only prerequisites are calculus and some exposure to matrix algebra, probability, and differential equations.

    An instructor's manual with additional exercises and solutions is available electronically for those instructors/professors only who have already adopted the textbook for classroom use. Please send email to textbooks@ams.org for more information.

    Readership

    Undergraduate and graduate students interested in game theory and biological modelling.

  • Table of Contents
     
     
    • Cover
    • Title page
    • Preface
    • Acknowledgments
    • Agenda
    • Chapter 1. Community Games
    • Chapter 2. Population Games
    • Chapter 3. Cooperative Games in Strategic Form
    • Chapter 4. Cooperative Games in Nonstrategic Form
    • Chapter 5. Cooperation and the Prisoner’s Dilemma
    • Chapter 6. Continuous Population Games
    • Chapter 7. Discrete Population Games
    • Chapter 8. Triadic Population Games
    • Chapter 9. Appraisal
    • Appendix A. Bimatrix Games
    • Appendix B. Answers or Hints for Selected Exercises
    • Bibliography
    • Index
    • Back Cover
  • Reviews
     
     
    • The book is a good introductory survey of modelling situations using Gaming Theory. It begins with the work of John Nash, with discussion of Nash equilibria, and continues well beyond that point. It mentions the limitations of applications of gaming theory at the time of writing and suggests areas where there is significant opportunity for research. It is aimed at the undergraduate market.

      John Bartlett, CMath MIMA
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Volume: 372019
MSC: Primary 91; Secondary 92;

This book introduces game theory and its applications from an applied mathematician's perspective, systematically developing tools and concepts for game-theoretic modelling in the life and social sciences. Filled with down-to-earth examples of strategic behavior in humans and other animals, the book presents a unified account of the central ideas of both classical and evolutionary game theory. Unlike many books on game theory, which focus on mathematical and recreational aspects of the subject, this book emphasizes using games to answer questions of current scientific interest.

In the present third edition, the author has added substantial new material on evolutionarily stable strategies and their use in behavioral ecology. The only prerequisites are calculus and some exposure to matrix algebra, probability, and differential equations.

An instructor's manual with additional exercises and solutions is available electronically for those instructors/professors only who have already adopted the textbook for classroom use. Please send email to textbooks@ams.org for more information.

Readership

Undergraduate and graduate students interested in game theory and biological modelling.

  • Cover
  • Title page
  • Preface
  • Acknowledgments
  • Agenda
  • Chapter 1. Community Games
  • Chapter 2. Population Games
  • Chapter 3. Cooperative Games in Strategic Form
  • Chapter 4. Cooperative Games in Nonstrategic Form
  • Chapter 5. Cooperation and the Prisoner’s Dilemma
  • Chapter 6. Continuous Population Games
  • Chapter 7. Discrete Population Games
  • Chapter 8. Triadic Population Games
  • Chapter 9. Appraisal
  • Appendix A. Bimatrix Games
  • Appendix B. Answers or Hints for Selected Exercises
  • Bibliography
  • Index
  • Back Cover
  • The book is a good introductory survey of modelling situations using Gaming Theory. It begins with the work of John Nash, with discussion of Nash equilibria, and continues well beyond that point. It mentions the limitations of applications of gaming theory at the time of writing and suggests areas where there is significant opportunity for research. It is aimed at the undergraduate market.

    John Bartlett, CMath MIMA
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