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Game Theory in Action: An Introduction to Classical and Evolutionary Models

Author

Listed:
  • Stephen Schecter

    (North Carolina State University)

  • Herbert Gintis

    (Santa Fe Institute)

Abstract

Game Theory in Action is a textbook about using game theory across a range of real-life scenarios. From traffic accidents to the sex lives of lizards, Stephen Schecter and Herbert Gintis show students how game theory can be applied in diverse areas including animal behavior, political science, and economics. The book's examples and problems look at such fascinating topics as crime-control strategies, climate-change negotiations, and the power of the Oracle at Delphi. The text includes a substantial treatment of evolutionary game theory, where strategies are not chosen through rational analysis, but emerge by virtue of being successful. This is the side of game theory that is most relevant to biology; it also helps to explain how human societies evolve. Aimed at students who have studied basic calculus and some differential equations, Game Theory in Action is the perfect way to learn the concepts and practical tools of game theory.

Suggested Citation

  • Stephen Schecter & Herbert Gintis, 2016. "Game Theory in Action: An Introduction to Classical and Evolutionary Models," Economics Books, Princeton University Press, edition 1, number 10739.
    • Handle: RePEc:pup:pbooks:10739
    as

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    Citations

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    Cited by:

    1. Omuwa Oyakhire & Koichi Gyoda, 2020. "Improved Proactive Routing Protocol Considering Node Density Using Game Theory in Dense Networks," Future Internet, MDPI, vol. 12(3), pages 1-12, March.
    2. Ilko Vrankić & Tomislav Herceg & Mirjana Pejić Bach, 2021. "Dynamics and stability of evolutionary optimal strategies in duopoly," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(3), pages 1001-1019, September.
    3. Wakeley, John & Nowak, Martin, 2019. "A two-player iterated survival game," Theoretical Population Biology, Elsevier, vol. 125(C), pages 38-55.
    4. Colin Benjamin & Arjun Krishnan U.M., 2023. "Nash equilibrium mapping vs. Hamiltonian dynamics vs. Darwinian evolution for some social dilemma games in the thermodynamic limit," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 96(7), pages 1-16, July.

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