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An Introduction to Decision Theory Martin Peterson (Royal Institute of Technology, Stockholm)

An Introduction to Decision Theory par Martin Peterson (Royal Institute of Technology, Stockholm)

An Introduction to Decision Theory Martin Peterson (Royal Institute of Technology, Stockholm)

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Résumé

This clearly written introduction covers all the main aspects of decision theory including utility theory, subjective and objective probability, Bayesianism, causal decision theory, game theory, and social choice theory. No mathematical background is assumed and a full glossary and over 100 exercises help the reader to fully understand the area.

An Introduction to Decision Theory Résumé

An Introduction to Decision Theory Martin Peterson (Royal Institute of Technology, Stockholm)

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.

An Introduction to Decision Theory Avis

This up-to-date 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.... 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. -- Mathematical Reviews

À propos de Martin Peterson (Royal Institute of Technology, Stockholm)

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

Sommaire

Preface; 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; Index.

Informations supplémentaires

GOR002365435
9780521716543
0521716543
An Introduction to Decision Theory Martin Peterson (Royal Institute of Technology, Stockholm)
Martin Peterson (Royal Institute of Technology, Stockholm)
Cambridge Introductions to Philosophy
Occasion - Très bon état
Broché
Cambridge University Press
20090514
325
N/A
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