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Author : Itzhak Gilboa
Publisher : Cambridge University Press
Page : 214 pages
File Size : 12,55 MB
Release : 2001-07-26
Category : Business & Economics
ISBN : 9780521003117
This work, a paradigm for modelling decision-making under uncertainty, describes the general theory and its relationship to planning, repeated choice problems, inductive inference, and learning; and highlights its mathematical and philosophical foundations.
Author : Itzhak Gilboa
Publisher :
Page : 199 pages
File Size : 43,75 MB
Release : 2001
Category : Business & Economics
ISBN : 9781280162244
Gilboa and Schmeidler provide a new paradigm for modelling decision making under uncertainty, one which suggests that people make decisions by analogies to past cases. The authors describe the general theory and its relationship to planning, repeated choice problems, inductive inference, and learning.
Author : Emilio Asaro
Publisher :
Page : pages
File Size : 47,22 MB
Release : 1998
Category :
ISBN :
Author : Luigi Luini
Publisher : Springer Science & Business Media
Page : 360 pages
File Size : 48,93 MB
Release : 2012-12-06
Category : Business & Economics
ISBN : 1461550831
Uncertain Decisions: Bridging Theory and Experiments presents advanced directions of thinking on decision theory - in particular the more recent contributions on non-expected utility theory, fuzzy decision theory and case-based theory. This work also provides theoretical insights on measures of risk aversion and on new problems for general equilibrium analysis. It analyzes how the thinking that underlies the theories described above spills over into real decisions, and how the thinking that underlies these real decisions can explain the discrepancies between theoretical approaches and actual behavior. This work elaborates on how the most recent laboratory experiments have become an important source both for evaluating the leading theory of choice and decision, and for contributing to the formation of new models regarding the subject.
Author : Itzhak Gilboa
Publisher : John Wiley & Sons
Page : 235 pages
File Size : 11,77 MB
Release : 2010-10-19
Category : Business & Economics
ISBN : 1444336517
Making Better Decisions introduces readers to some of the principal aspects of decision theory, and examines how these might lead us to make better decisions. Introduces readers to key aspects of decision theory and examines how they might help us make better decisions Presentation of material encourages readers to imagine a situation and make a decision or a judgment Offers a broad coverage of the subject including major insights from several sub-disciplines: microeconomic theory, decision theory, game theory, social choice, statistics, psychology, and philosophy Explains these insights informally in a language that has minimal mathematical notation or jargon, even when describing and interpreting mathematical theorems Critically assesses the theory presented within the text, as well as some of its critiques Includes a web resource for teachers and students
Author : Gaby Gayer
Publisher :
Page : 234 pages
File Size : 17,5 MB
Release : 2007
Category :
ISBN :
Author : Torsten Neher
Publisher :
Page : 98 pages
File Size : 34,81 MB
Release : 2009
Category : Case-based reasoning
ISBN :
Author : Brit Grosskopf
Publisher :
Page : 38 pages
File Size : 46,12 MB
Release : 2008
Category :
ISBN :
We experimentally investigate the disposition of decision makers to use case-based reasoning as suggested by Case-Based Decision Theory (Gilboa and Schmeidler, 1995). Our subjects face a monopoly decision problem about which they have very limited information. Information is presented in a manner which makes similarity judgements according to the feature matching model of Tversky (1977) very plausible. In a 2x2 between-subject design, we vary whether information about the current market is given, in addition to a history, or not. Furthermore, we investigate the impact feedback has on behavior in several independent markets by either giving immediate feedback about obtained profits or not. The results provide some support for the predictions of Case-Based Decision Theory, particularly when no immediate feedback is given. We also find evidence that other simple heuristics are used.
Author : Benjamin Radoc
Publisher :
Page : pages
File Size : 46,56 MB
Release : 2015
Category :
ISBN :
Author : Itzhak Gilboa
Publisher : Cambridge University Press
Page : 216 pages
File Size : 24,53 MB
Release : 2009-03-16
Category : Business & Economics
ISBN : 052151732X
This book describes the classical axiomatic theories of decision under uncertainty, as well as critiques thereof and alternative theories. It focuses on the meaning of probability, discussing some definitions and surveying their scope of applicability. The behavioral definition of subjective probability serves as a way to present the classical theories, culminating in Savage's theorem. The limitations of this result as a definition of probability lead to two directions - first, similar behavioral definitions of more general theories, such as non-additive probabilities and multiple priors, and second, cognitive derivations based on case-based techniques.