Good Condition
J. Howard Sobel has long been recognized as an important figure in philosophical discussions of rational decision. He has done much to help formulate the concept of causal decision theory. In this volume of essays Sobel explores the Bayesian idea that rational actions maximize expected values, where an action's expected value is a weighted average of its agent's values for its possible total outcomes. Newcomb's Problem and The Prisoner's Dilemma are discussed, and Allais-type puzzles are viewed from the perspective of causal world Bayesianism. The author establishes principles for distinguishing options in decision problems, and studies ways in which perfectly rational causal maximizers can be capable of resolute choices. Sobel also views critically Gauthier's revisionist ideas about maximizing rationality. This collection will be a desideratum for anyone working in the field of rational choice theory, whether in philosophy, economics, political science, psychology or statistics. Howard Sobel's work in decision theory is certainly among the most important, interesting and challenging that is being done by philosophers.
Publication Data:
Author(s): Jordan Howard Sobel
Publisher: Cambridge University Press
Pages: 376
Language: en
Category: Science/Technical/Medical
Genre: Business & Economics, Statistics, Mathematics, Probability & Statistics, Bayesian Analysis, Philosophy, Logic
ISBN: 0521416353
Condition Note:
Sold by the UK Charity Kisharon Langdon offering opportunities and surpport for people within the Autism and Learning Disability Community.