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A Theory of Case-Based Decisions

2001-07-26 Business & Economics
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Release : 2001-07-26
Genre : Business & Economics
Kind : eBook
Book Rating : 117/5 ( reviews)

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Book Synopsis A Theory of Case-Based Decisions by : Itzhak Gilboa

Download or read book A Theory of Case-Based Decisions written by Itzhak Gilboa. This book was released on 2001-07-26. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Theory of Case-Based Decisions

2001 Business & Economics
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Release : 2001
Genre : Business & Economics
Kind : eBook
Book Rating : 244/5 ( reviews)

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Book Synopsis Theory of Case-Based Decisions by : Itzhak Gilboa

Download or read book Theory of Case-Based Decisions written by Itzhak Gilboa. This book was released on 2001. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Uncertain Decisions

2012-12-06 Business & Economics
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Release : 2012-12-06
Genre : Business & Economics
Kind : eBook
Book Rating : 831/5 ( reviews)

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Book Synopsis Uncertain Decisions by : Luigi Luini

Download or read book Uncertain Decisions written by Luigi Luini. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Theory of Decision Under Uncertainty

2009-03-16 Business & Economics
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Release : 2009-03-16
Genre : Business & Economics
Kind : eBook
Book Rating : 32X/5 ( reviews)

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Book Synopsis Theory of Decision Under Uncertainty by : Itzhak Gilboa

Download or read book Theory of Decision Under Uncertainty written by Itzhak Gilboa. This book was released on 2009-03-16. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Case-Based Approximate Reasoning

2007-03-20 Computers
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Release : 2007-03-20
Genre : Computers
Kind : eBook
Book Rating : 958/5 ( reviews)

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Book Synopsis Case-Based Approximate Reasoning by : Eyke Hüllermeier

Download or read book Case-Based Approximate Reasoning written by Eyke Hüllermeier. This book was released on 2007-03-20. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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