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Evidential Decision Theory

Author : Arif Ahmed
Publisher : Cambridge University Press
Page : 112 pages
File Size : 11,7 MB
Release : 2021-10-21
Category : Science
ISBN : 1108607861

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Evidential Decision Theory is a radical theory of rational decision-making. It recommends that instead of thinking about what your decisions *cause*, you should think about what they *reveal*. This Element explains in simple terms why thinking in this way makes a big difference, and argues that doing so makes for *better* decisions. An appendix gives an intuitive explanation of the measure-theoretic foundations of Evidential Decision Theory.

The Foundations of Causal Decision Theory

Author : James M. Joyce
Publisher : Cambridge University Press
Page : 300 pages
File Size : 10,53 MB
Release : 1999-04-13
Category : Computers
ISBN : 9780521641647

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The book also contains a major new discussion of what it means to suppose that some event occurs or that some proposition is true.

The Foundations of Causal Decision Theory

Author : James M. Joyce
Publisher : Cambridge University Press
Page : 281 pages
File Size : 37,9 MB
Release : 1999-04-13
Category : Science
ISBN : 1139471384

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This book defends the view that any adequate account of rational decision making must take a decision maker's beliefs about causal relations into account. The early chapters of the book introduce the non-specialist to the rudiments of expected utility theory. The major technical advance offered by the book is a 'representation theorem' that shows that both causal decision theory and its main rival, Richard Jeffrey's logic of decision, are both instances of a more general conditional decision theory. The book solves a long-standing problem for Jeffrey's theory by showing for the first time how to obtain a unique utility and probability representation for preferences and judgements of comparative likelihood. The book also contains a major new discussion of what it means to suppose that some event occurs or that some proposition is true. The most complete and robust defence of causal decision theory available.

An Introduction to Decision Theory

Author : Martin Peterson
Publisher : Cambridge University Press
Page : 351 pages
File Size : 28,63 MB
Release : 2017-03-30
Category : Business & Economics
ISBN : 1107151597

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A comprehensive and accessible introduction to all aspects of decision theory, now with new and updated discussions and over 140 exercises.

Decision Theory with a Human Face

Author : Richard Bradley
Publisher : Cambridge University Press
Page : 351 pages
File Size : 11,30 MB
Release : 2017-10-26
Category : Business & Economics
ISBN : 1107003210

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Explores how decision-makers can manage uncertainty that varies in both kind and severity by extending and supplementing Bayesian decision theory.

Newcomb's Problem

Author : Arif Ahmed
Publisher : Cambridge University Press
Page : 243 pages
File Size : 14,73 MB
Release : 2018-11
Category : Mathematics
ISBN : 1107180279

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Which of two boxes to select for a monetary award; or, to select both? Someone else has predicted your choice.

Self-Control, Decision Theory, and Rationality

Author : José Luis Bermúdez
Publisher : Cambridge University Press
Page : 281 pages
File Size : 30,38 MB
Release : 2018-12-06
Category : Philosophy
ISBN : 1108420095

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A distinguished group of philosophers, decision theorists, and psychologists offer new interdisciplinary perspectives on the rationality of self-control.

Beyond Uncertainty

Author : Katie Steele
Publisher : Cambridge University Press
Page : 120 pages
File Size : 19,60 MB
Release : 2021-09-09
Category : Science
ISBN : 1108608043

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The main aim of this Element is to introduce the topic of limited awareness, and changes in awareness, to those interested in the philosophy of decision-making and uncertain reasoning. While it has long been of interest to economists and computer scientists, this topic has only recently been subject to philosophical investigation. Indeed, at first sight limited awareness seems to evade any systematic treatment: it is beyond the uncertainty that can be managed. On the one hand, an agent has no control over what contingencies she is and is not aware of at a given time, and any awareness growth takes her by surprise. On the other hand, agents apparently learn to identify the situations in which they are more and less likely to experience limited awareness and subsequent awareness growth. How can these two sides be reconciled? That is the puzzle we confront in this Element.

Evidence, Decision and Causality

Author : Arif Ahmed
Publisher : Cambridge University Press
Page : 261 pages
File Size : 45,18 MB
Release : 2014-08-07
Category : Education
ISBN : 1107020891

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An explanation and defence of evidential decision theory, which emphasises the symptomatic value of options over their causal role.

The Logic of Decision

Author : Richard C. Jeffrey
Publisher : University of Chicago Press
Page : 245 pages
File Size : 46,7 MB
Release : 1990-07-15
Category : Mathematics
ISBN : 0226395820

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"[This book] proposes new foundations for the Bayesian principle of rational action, and goes on to develop a new logic of desirability and probabtility."—Frederic Schick, Journal of Philosophy