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Decision Making Using Game Theory

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  • Kelly,Anthony

Abstract

Game theory is a key element in most decision-making processes involving two or more people or organisations. This book explains how game theory can predict the outcome of complex decision-making processes, and how it can help you to improve your own negotiation and decision-making skills. It is grounded in well-established theory, yet the wide-ranging international examples used to illustrate its application offer a fresh approach to an essential weapon in the armoury of the informed manager. The book is accessibly written, explaining in simple terms the underlying mathematics behind games of skill, before moving on to more sophisticated topics such as zero-sum games, mixed-motive games, and multi-person games, coalitions and power. Clear examples and helpful diagrams are used throughout, and the mathematics is kept to a minimum. It is written for managers, students and decision makers in any field.

Suggested Citation

  • Kelly,Anthony, 2003. "Decision Making Using Game Theory," Cambridge Books, Cambridge University Press, number 9780521814621.
    • Handle: RePEc:cup:cbooks:9780521814621
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    Citations

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    Cited by:

    1. Kęstutis Peleckis, 2015. "The Use of Game Theory for Making Rational Decisions in Business Negotiations: A Conceptual Model," Entrepreneurial Business and Economics Review, Centre for Strategic and International Entrepreneurship at the Cracow University of Economics., vol. 3(4), pages 105-121.
    2. Beck, Katja & Knierim, Andrea, 2019. "Die Rolle von Kooperationen im Gewässerschutz aus Sicht der Wasserversorgungsunternehmen," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 68(3), September.
    3. Kose, Erkan & Erbas, Mehmet & Ersen, Erkan, 2017. "An integrated approach based on game theory and geographical information systems to solve decision problems," Applied Mathematics and Computation, Elsevier, vol. 308(C), pages 105-114.
    4. Quanxi Wang & Ni Wang & Haodong Wang & Yuan Xiu, 2022. "Study on Influencing Factors and Simulation of Watershed Ecological Compensation Based on Evolutionary Game," Sustainability, MDPI, vol. 14(6), pages 1-23, March.
    5. Siebe, Wilfried & Milde, Hellmuth & Broll, Udo & Bieta, Volker, 2007. "The New Basel Accord and the Nature of Risk: A Game Theoretic Perspective," Dresden Discussion Paper Series in Economics 07/07, Technische Universität Dresden, Faculty of Business and Economics, Department of Economics.
    6. Ana Maria German & Alexandru Codrin Ionescu, 2018. "Decision - Making Process in Business Using Game Theory," Book chapters-LUMEN Proceedings, in: Antonio SANDU & Tomita CIULEI (ed.), 10th LUMEN International Scientific Conference Rethinking Social Action. Core Values in Practice | RSACVP 2018 | 20-21 April 2018 | Suceava – Romani, edition 1, volume 5, chapter 14, pages 149-161, Editura Lumen.
    7. Serrano González, Javier & Burgos Payán, Manuel & Riquelme Santos, Jesús Manuel, 2018. "Optimal design of neighbouring offshore wind farms: A co-evolutionary approach," Applied Energy, Elsevier, vol. 209(C), pages 140-152.
    8. Volker Bieta & Udo Broll & Hellmuth Milde & Wilfried Siebe, 2008. "The New Basel Accord And The Nature Of Risk: A Game Theoretic Perspective," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 4(01), pages 1-22.
    9. Christopher Heywood, 2011. "Approaches to Aligning Corporate Real Estate and Organisational StrategyORGANISATIONAL STRATEGY," ERES eres2011_194, European Real Estate Society (ERES).
    10. Vafadarnikjoo, Amin & Chalvatzis, Konstantinos & Botelho, Tiago & Bamford, David, 2023. "A stratified decision-making model for long-term planning: Application in flood risk management in Scotland," Omega, Elsevier, vol. 116(C).
    11. Sadooghi, Seyed Ehsan & Taleai, Mohammad & Abolhasani, Somaie, 2022. "Simulation of urban growth scenarios using integration of multi-criteria analysis and game theory," Land Use Policy, Elsevier, vol. 120(C).

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