MARC details
| 000 -LEADER |
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02159nam a22002297a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20211101122419.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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211101b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781316606209 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
519.542 |
| Item number |
PET |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Peterson, Martin |
| 245 ## - TITLE STATEMENT |
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| Title |
An introduction to decision theory |
| 250 ## - EDITION STATEMENT |
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| Edition statement |
2nd |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Name of publisher, distributor, etc. |
Cambridge University Press |
| Place of publication, distribution, etc. |
New York |
| Date of publication, distribution, etc. |
2021 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
x, 339 p. |
| 365 ## - TRADE PRICE |
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| Price type code |
GBP |
| Price amount |
22.99 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Table of Contents<br/>Preface<br/>1. Introduction<br/>2. The decision matrix<br/>3. Decisions under ignorance<br/>4. Decisions under risk<br/>5. Utility<br/>6. The mathematics of probability<br/>7. The philosophy of probability<br/>8. Bayesianism and pragmatic arguments<br/>9. Causal vs evidential decision theory<br/>10. Risk aversion<br/>11. Game theory I: basic concepts and zero-sum games<br/>12. Game theory II: nonzero-sum and cooperative games<br/>13. Social choice theory<br/>14. Overview of descriptive decision theory<br/>Appendix A. Glossary<br/>Further reading<br/>Index. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
DescriptionContentsResourcesCoursesAbout the Authors<br/>Now revised and updated, this introduction to decision theory is both accessible and comprehensive, covering topics including 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, with all concepts and results explained in non-technical and intuitive as well as more formal ways. There are now over 140 exercises with solutions, along with a glossary of key terms and concepts. This second edition includes a new chapter on risk aversion as well as updated discussions of numerous central ideas, including Newcomb's problem, prisoner's dilemmas, and Arrow's impossibility theorem. The book will appeal particularly to philosophy students but also to readers in a range of disciplines, from computer science and psychology to economics and political science. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Bayesian statistical decision theory |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Decision making |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Decision making--Mathematical models |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Book |