[PDF] Theory Of Case Based Decisions eBook

Author : Itzhak Gilboa
Publisher : Cambridge University Press
Page : 214 pages
File Size : 30,13 MB
Release : 2001-07-26
Category : Business & Economics
ISBN : 9780521003117

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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 : 24,74 MB
Release : 2001
Category : Business & Economics
ISBN : 9781280162244

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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 : Luigi Luini
Publisher : Springer Science & Business Media
Page : 360 pages
File Size : 25,95 MB
Release : 2012-12-06
Category : Business & Economics
ISBN : 1461550831

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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 : Cambridge University Press
Page : 216 pages
File Size : 38,55 MB
Release : 2009-03-16
Category : Business & Economics
ISBN : 052151732X

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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.

Author : Eyke Hüllermeier
Publisher : Springer Science & Business Media
Page : 384 pages
File Size : 31,85 MB
Release : 2007-03-20
Category : Computers
ISBN : 1402056958

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Making use of different frameworks of approximate reasoning and reasoning under uncertainty, notably probabilistic and fuzzy set-based techniques, this book develops formal models of the above inference principle, which is fundamental to CBR. The case-based approximate reasoning methods thus obtained especially emphasize the heuristic nature of case-based inference and aspects of uncertainty in CBR.

Author : Itzhak Gilboa
Publisher : World Scientific Publishing Company Incorporated
Page : 309 pages
File Size : 24,64 MB
Release : 2012
Category : Business & Economics
ISBN : 9789814366175

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The book presents an axiomatic approach to the problems of prediction, classification, and statistical learning. Using methodologies from axiomatic decision theory, and, in particular, the authors' case-based decision theory, the present studies attempt to ask what inductive conclusions can be derived from existing databases. It is shown that simple consistency rules lead to similarity-weighted aggregation, akin to kernel-based methods. It is suggested that the similarity function be estimated from the data. The incorporation of rule-based reasoning is discussed.

Author : Richard Bradley
Publisher : Cambridge University Press
Page : 351 pages
File Size : 40,67 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.

Author : Paul Weirich
Publisher :
Page : 278 pages
File Size : 25,17 MB
Release : 2004-09-16
Category : Business & Economics
ISBN : 019517125X

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Paul Weirich generalizes classical decision principles so that they apply to fallible, cognitively limited agents facing complex decision problems. His systematic approach to removal of decision theory's idealizations yields attainable but precise standards of rationality.

Author : Itzhak Gilboa
Publisher : John Wiley & Sons
Page : 235 pages
File Size : 42,93 MB
Release : 2010-10-19
Category : Business & Economics
ISBN : 1444336517

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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