Decision, Probability and Utility

Decision, Probability and Utility PDF Author: Peter Gärdenfors
Publisher: Cambridge University Press
ISBN: 9780521336581
Category : Business & Economics
Languages : en
Pages : 464

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Book Description
Decision theory and the theory of rational choice have recently been the subjects of considerable research by philosophers and economists. However, no adequate anthology exists which can be used to introduce students to the field. This volume is designed to meet that need. The essays included are organized into five parts covering the foundations of decision theory, the conceptualization of probability and utility, pholosophical difficulties with the rules of rationality and with the assessment of probability, and causal decision theory. The editors provide an extensive introduction to the field and introductions to each part.

Decision, Probability and Utility

Decision, Probability and Utility PDF Author: Peter Gärdenfors
Publisher: Cambridge University Press
ISBN: 9780521336581
Category : Business & Economics
Languages : en
Pages : 464

Get Book

Book Description
Decision theory and the theory of rational choice have recently been the subjects of considerable research by philosophers and economists. However, no adequate anthology exists which can be used to introduce students to the field. This volume is designed to meet that need. The essays included are organized into five parts covering the foundations of decision theory, the conceptualization of probability and utility, pholosophical difficulties with the rules of rationality and with the assessment of probability, and causal decision theory. The editors provide an extensive introduction to the field and introductions to each part.

Introduction to Statistical Decision Theory

Introduction to Statistical Decision Theory PDF Author: Silvia Bacci
Publisher: CRC Press
ISBN: 1351621386
Category : Mathematics
Languages : en
Pages : 217

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Book Description
Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision theory from a statistical perspective. It covers both traditional approaches, in terms of value theory and expected utility theory, and recent developments, in terms of causal inference. The book is specifically designed to appeal to students and researchers that intend to acquire a knowledge of statistical science based on decision theory. Features Covers approaches for making decisions under certainty, risk, and uncertainty Illustrates expected utility theory and its extensions Describes approaches to elicit the utility function Reviews classical and Bayesian approaches to statistical inference based on decision theory Discusses the role of causal analysis in statistical decision theory

Utility and Probability

Utility and Probability PDF Author: John Eatwell
Publisher: Springer
ISBN: 1349205680
Category : Business & Economics
Languages : en
Pages : 330

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Book Description
This is an excerpt from the 4-volume dictionary of economics, a reference book which aims to define the subject of economics today. 1300 subject entries in the complete work cover the broad themes of economic theory. This extract concentrates on utility and probability.

Utility, Probability, and Human Decision Making

Utility, Probability, and Human Decision Making PDF Author: D. Wendt
Publisher: Springer Science & Business Media
ISBN: 9401018340
Category : Social Science
Languages : en
Pages : 408

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Book Description
Human decision making involves problems which are being studied with increasing interest and sophistication. They range from controversial political decisions via individual consumer decisions to such simple tasks as signal discriminations. Although it would seem that decisions have to do with choices among available actions of any kind, there is general agreement that decision making research should pertain to choice prob lems which cannot be solved without a predecisional stage of finding choice alternatives, weighing evidence, and judging values. The ultimate objective of scientific research on decision making is two-fold: (a) to develop a theoretically sound technology for the optimal solution of decision problems, and (b) to formulate a descriptive theory of human decision making. The latter may, in tum, protect decision makers from being caught in the traps of their own limitations and biases. Recently, in decision making research the strong emphasis on well defined laboratory tasks is decreasing in favour of more realistic studies in various practical settings. This may well have been caused by a growing awareness of the fact that decision-behaviour is strongly determined by situational factors, which makes it necessary to look into processes of interaction between the decision maker and the relevant task environ ment. Almost inevitably there is a parallel shift of interest towards problems of utility measurement and the evaluation of consequences.

Utility Theory for Decision Making

Utility Theory for Decision Making PDF Author: Peter C. Fishburn
Publisher: Huntington, N.Y. : R. E. Krieger Publishing Company
ISBN: 9780882757360
Category : Decision-making
Languages : en
Pages : 234

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Book Description


Rational Choice Using Imprecise Probabilities and Utilities

Rational Choice Using Imprecise Probabilities and Utilities PDF Author: Paul Weirich
Publisher: Cambridge University Press
ISBN: 1108604781
Category : Science
Languages : en
Pages : 139

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Book Description
An agent often does not have precise probabilities or utilities to guide resolution of a decision problem. I advance a principle of rationality for making decisions in such cases. To begin, I represent the doxastic and conative state of an agent with a set of pairs of a probability assignment and a utility assignment. Then I support a decision principle that allows any act that maximizes expected utility according to some pair of assignments in the set. Assuming that computation of an option's expected utility uses comprehensive possible outcomes that include the option's risk, no consideration supports a stricter requirement.

Improving Homeland Security Decisions

Improving Homeland Security Decisions PDF Author: Ali E. Abbas
Publisher: Cambridge University Press
ISBN: 1107161886
Category : Computers
Languages : en
Pages : 787

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Book Description
Are we safer from terrorism today and is our homeland security money well spent? This book offers answers and more.

The New Palgrave

The New Palgrave PDF Author: John Eatwell
Publisher: W. W. Norton & Company
ISBN: 9780393027389
Category : Business & Economics
Languages : en
Pages : 340

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Book Description
Each volume in this series includes a collection of authoritative essays from the New Palgrave: A Dictionary of Economics, selected by the Editors to illustrate the range and diversity of economic thought on a particular topic.

Choices

Choices PDF Author: Michael D. Resnik
Publisher: U of Minnesota Press
ISBN: 9781452902289
Category : Decision making
Languages : en
Pages : 244

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Book Description


The Foundations of Causal Decision Theory

The Foundations of Causal Decision Theory PDF Author: James M. Joyce
Publisher: Cambridge University Press
ISBN: 1139471384
Category : Science
Languages : en
Pages : 281

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Book Description
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.