Understanding Policy Decisions, Bruno Dente

Автор: Janos Fodor; Bernard De Baets; Patrice Perny
Название: Preferences and Decisions under Incomplete Knowledge
ISBN: 3790813036 ISBN-13(EAN): 9783790813036
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Decision problems are pervaded with incomplete knowledge - imprecision and/or uncertain information, both in the problem description and in the preferential information. This volume addresses various theoretical and practical aspects related to the handling of this incompleteness.

Автор: Martin Thomas N
Название: Smart Decisions
ISBN: 1137536985 ISBN-13(EAN): 9781137536983
Издательство: Springer
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Цена: 4890.00 р.
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Описание: A `no-nonsense, no-holds-barred` practical book on what a decision maker in any academic or practical professional endeavor should be thinking about in order to execute the decision making process more thoroughly.

Автор: Redish A. David
Название: The Mind Within the Brain: How We Make Decisions and How Those Decisions Go Wrong
ISBN: 0199891885 ISBN-13(EAN): 9780199891887
Издательство: Oxford Academ
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Цена: 6572.00 р.
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Описание: In The Mind within the Brain, David Redish brings together cutting edge research in psychology, robotics, economics, neuroscience, and the new fields of neuroeconomics and computational psychiatry, to offer a unified theory of human decision-making.

Автор: M. Bacharach; Louis Andr? Gerard-Varet; Philippe M
Название: Epistemic Logic and the Theory of Games and Decisions
ISBN: 0792348044 ISBN-13(EAN): 9780792348047
Издательство: Springer
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Цена: 30606.00 р.
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Описание: The convergence of game theory and epistemic logic has been in progress for years. This book considers the issues of knowledge, belief and strategic interaction. It focuses on epistemic logic and the representative topics of backward induction arguments and syntax/semantics and the logical omniscience problem.

Название: A Theory of Case-Based Decisions
ISBN: 0521003113 ISBN-13(EAN): 9780521003117
Издательство: Cambridge Academ
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Цена: 6653.00 р.
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Описание: Gilboa and Schmeidler provide a 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.