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A Course on Cooperative Game Theory

$106.00 (X)

textbook
  • Date Published: February 2015
  • availability: In stock
  • format: Hardback
  • isbn: 9781107058798

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  • Cooperative game theory deals with situations where objectives of participants of the game are partially cooperative and partially conflicting. It is in the interest of participants to cooperate in the sense of making binding agreements to achieve the maximum possible benefit. When it comes to distribution of benefit/payoffs, participants have conflicting interests. Such situations are usually modelled as cooperative games. While the book mainly discusses transferable utility games, there is also a brief analysis of non-transferable utility games. Alternative solution concepts to cooperative game theoretic problems are presented in chapters 1-9 and the next four chapters present issues related to computations of solutions discussed in the earlier chapters. The proofs of all results presented in the book are quite explicit. Additionally the mathematical techniques employed in demonstrating the results will be helpful to those who wish to learn application of mathematics for solving problems in game theory.

    • The technical terms and mathematical operations employed to discuss the results are explained in non-technical language and intuitive explanations of the mathematical results are provided
    • Each chapter has analytical examples and contains at least one applied example directly related to the theory presented in the text
    • Integration of theory and practice helps students understand the theoretical issues first and then see their practical relevance
    • There are review questions at the end of most chapters
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    Product details

    • Date Published: February 2015
    • format: Hardback
    • isbn: 9781107058798
    • length: 273 pages
    • dimensions: 239 x 159 x 21 mm
    • weight: 0.55kg
    • availability: In stock
  • Table of Contents

    Preface
    1. Introduction and motivation page
    2. Basics and preliminaries
    3. The core and some related solutions
    4. The bargaining set, kernel and nucleolus
    5. The Shapley value
    6. The core, Shapley value and Weber set
    7. Voting games
    8. Mathematical matching
    9. Non-transferable utility cooperative games
    10. Linear programming
    11. Algorithmic aspects of cooperative game theory
    12. Weighted majority games
    13. Stable matching algorithm
    References
    Index.

  • Authors

    Satya R. Chakravarty, Indian Statistical Institute, Kolkata
    Satya R. Chakravarty is a Professor of Economics at the Indian Statistical Institute, Kolkata. He received a bachelor degree in Statistics in 1976, a master degree in economics in 1977 and a doctorate in economics in 1981 from the Indian Statistical Institute. Professor Chakravarty worked as a Visiting Professor at the University of British Columbia, Canada (1984–5), the University of Karlsruhe, Germany (1988–90) with a grant from the German Research Foundation, the Bar Ilan University, Israel (1990, 2004, 2005, 2006 and 2010), the Kagawa University, Japan (1996–7 and 2000), the Paris School of Economics, Paris, France (1997–8) with a grant from the French Ministry of Education, the Chinese University of Hong Kong (1998), the Bocconi University, Milan, Italy (2002–3 and 2006–7) and the Yokohama National University, Japan (2009). Professor Chakravarty's main areas of interest are welfare economics, public economics, mathematical finance, industrial organization and game theory. His work spans theoretical, empirical and policy analysis.

    Manipushpak Mitra, Indian Statistical Institute, Kolkata
    Manipushpak Mitra is a Professor of Economics at the Indian Statistical Institute, Kolkata, India. He has articles published in internationally known journals and edited books on cooperative game theory, mechanisms design in allocation problems and in market regulation problems, and industrial organization.

    Palash Sarkar, Indian Statistical Institute, Kolkata
    Palash Sarkar is a computer scientist and is presently a Professor at the Indian Statistical Institute, Kolkata, India. He has published over one hundred articles in leading journals and conference proceedings. His research and teaching interests range over a wide variety of topics at the interface of computer science and mathematics.

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