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An introduction to decision theory

By: Peterson, Martin.
Material type: materialTypeLabelBookPublisher: New York Cambridge University Press 2017Edition: 2nd.Description: x, 339p. With index.ISBN: 9781316606209.Subject(s): Bayesian statistical decision theory | Decision making | Decision making--mathematical models | Game theoryDDC classification: 519.542 Summary: 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. https://www.cambridge.org/core/books/an-introduction-to-decision-theory/93E043CC210347D7F3FE39665FD26C9F#fndtn-information
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Slot 1676 (2 Floor, East Wing) Non-fiction 519.542 P3I6 (Browse shelf) Available 198994

Table of content

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 - Bayesianism and Pragmatic Arguments

9 - Causal vs. Evidential Decision Theory

10 - Risk Aversion

11 - Game Theory I: Basic Concepts and Zero-sum Games

12 - Game Theory II: Nonzero-sum and Cooperative Games

13 - Social Choice Theory

14 - Overview of Descriptive Decision Theory

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.

https://www.cambridge.org/core/books/an-introduction-to-decision-theory/93E043CC210347D7F3FE39665FD26C9F#fndtn-information

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