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Escaping from Bad Decisions - A Behavioral Decision-Theoretic Perspective (Paperback) Loot Price: R3,171
Discovery Miles 31 710
You Save: R242 (7%)
Escaping from Bad Decisions - A Behavioral Decision-Theoretic Perspective (Paperback): Kazuhisa Takemura

Escaping from Bad Decisions - A Behavioral Decision-Theoretic Perspective (Paperback)

Kazuhisa Takemura

Series: Perspectives in Behavioral Economics and the Economics of Behavior

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Was R3,413 Loot Price R3,171 Discovery Miles 31 710 | Repayment Terms: R297 pm x 12* You Save R242 (7%)

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Escaping from Bad Decisions presents a modern conceptual and mathematical framework of the decision-making process. By interpreting ordinal utility theory as normative analysis examined in view of rationality, it shows how decision-making under certainty, risk, and uncertainty can be better understood. It provides a critical examination of psychological models in multi-attribute decision-making, and evaluates the constitutive elements of "good" and "bad" decisions. Multi-attribute decision-making is analysed descriptively, based on the psychological model of decision-making and computer simulations of decision strategies. Finally, prescriptive examinations of multi-attribute decision-making are performed, supporting the argument that decision-making from a pluralistic perspective creates results that can help "escape" from bad decisions. This book will be of particular interest to graduate students and early career researchers in economics, decision-theory, behavioral economics, experimental economics, psychology, cognitive sciences, and decision neurosciences.

General

Imprint: Academic Press Inc
Country of origin: United States
Series: Perspectives in Behavioral Economics and the Economics of Behavior
Release date: July 2021
First published: 2022
Authors: Kazuhisa Takemura
Dimensions: 229 x 152mm (L x W)
Format: Paperback
Pages: 542
ISBN-13: 978-0-12-816032-9
Categories: Books > Business & Economics > Economics > Microeconomics > General
LSN: 0-12-816032-2
Barcode: 9780128160329

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