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AN INTRODUCTION TO DECISION THEORY (CAMBRIDGE By Martin Peterson **Excellent**

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ApproximatelyRM 118.16
Condition:
Very Good
“Book is in Very Good Condition.  Text will be unmarked.  May show some signs of use or wear. Will ”... Read moreabout condition
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Item specifics

Condition
Very Good
A book that has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See all condition definitionsopens in a new window or tab
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“Book is in Very Good Condition.  Text will be unmarked.  May show some signs of use or wear. Will ...
ISBN-10
0521716543
Book Title
An Introduction to Decision Theory (Cambridge Introductions to
ISBN
9780521716543

About this product

Product Identifiers

Publisher
Cambridge University Press
ISBN-10
0521716543
ISBN-13
9780521716543
eBay Product ID (ePID)
71762986

Product Key Features

Number of Pages
325 Pages
Language
English
Publication Name
Introduction to Decision Theory
Publication Year
2009
Subject
Philosophy & Social Aspects, Decision-Making & Problem Solving, Statistics
Type
Textbook
Author
Martin Peterson
Subject Area
Education, Science, Business & Economics
Series
Cambridge Introductions to Philosophy Ser.
Format
Trade Paperback

Dimensions

Item Height
0.6 in
Item Weight
22.9 Oz
Item Length
9.7 in
Item Width
6.9 in

Additional Product Features

Intended Audience
College Audience
Reviews
"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
Dewey Edition
23
TitleLeading
An
Illustrated
Yes
Dewey Decimal
519.5/42
Table Of Content
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.
Synopsis
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., 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.
LC Classification Number
QA279.4.P48 2009

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