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An Introduction to Decision Theory

$28.00 USD

Part of Cambridge Introductions to Philosophy

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  • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • format: Adobe eBook Reader
  • isbn: 9781107299641

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About the Authors
  • This introduction to decision theory offers comprehensive and accessible discussions of decision-making under ignorance and risk, the foundations of utility theory, the debate over subjective and objective probability, Bayesianism, causal decision theory, game theory, and social choice theory. No mathematical skills are assumed, and all concepts and results are explained in non-technical and intuitive as well as more formal ways. There are over 100 exercises with solutions, and a glossary of key terms and concepts. An emphasis on foundational aspects of normative decision theory (rather than descriptive decision theory) makes the book particularly useful for philosophy students, but it will appeal to readers in a range of disciplines including economics, psychology, political science and computer science.

    • Has over 100 end of chapter review questions and exercises with solutions
    • Includes a chapter on how to draw a decision matrix
    • Explains the link between individual decision making, game theory and social choice theory
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    Product details

    • format: Adobe eBook Reader
    • isbn: 9781107299641
    • contains: 95 tables
    • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • Table of Contents

    1. Introduction
    2. The decision matrix
    3. Decisions under ignorance
    4. Decisions under risk
    5. Utility
    6. The mathematics of probability
    7. The philosophy of probability
    8. Why should we accept the preference axioms
    9. Causal vs. evidential decision theory
    10. Bayesian vs. non-Bayesian decision theory
    11. Game theory I: basic concepts and zero sum games
    12. Game theory II: nonzero sum and co-operative games
    13. Social choice theory
    14. Overview of descriptive decision theory
    Appendix A. Glossary
    Appendix B. Proof of the von Neumann-Morgenstern theorem
    Further reading

  • Author

    Martin Peterson, Texas A & M University
    Martin Peterson is Associate Professor of Philosophy at the Royal Institute of Technology, Sweden. He is author of Non-Bayesian Decision Theory (2008).

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