Simple Heuristics that Make Us Smart

Simple Heuristics that Make Us Smart

Author: Gerd Gigerenzer

Publisher: Oxford University Press

ISBN: 9780190286767

Category: Psychology

Page: 432

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Simple Heuristics That Make Us Smart invites readers to embark on a new journey into a land of rationality that differs from the familiar territory of cognitive science and economics. Traditional views of rationality tend to see decision makers as possessing superhuman powers of reason, limitless knowledge, and all of eternity in which to ponder choices. To understand decisions in the real world, we need a different, more psychologically plausible notion of rationality, and this book provides it. It is about fast and frugal heuristics--simple rules for making decisions when time is pressing and deep thought an unaffordable luxury. These heuristics can enable both living organisms and artificial systems to make smart choices, classifications, and predictions by employing bounded rationality. But when and how can such fast and frugal heuristics work? Can judgments based simply on one good reason be as accurate as those based on many reasons? Could less knowledge even lead to systematically better predictions than more knowledge? Simple Heuristics explores these questions, developing computational models of heuristics and testing them through experiments and analyses. It shows how fast and frugal heuristics can produce adaptive decisions in situations as varied as choosing a mate, dividing resources among offspring, predicting high school drop out rates, and playing the stock market. As an interdisciplinary work that is both useful and engaging, this book will appeal to a wide audience. It is ideal for researchers in cognitive psychology, evolutionary psychology, and cognitive science, as well as in economics and artificial intelligence. It will also inspire anyone interested in simply making good decisions.
Simple Heuristics that Make Us Smart
Language: en
Pages: 432
Authors: Gerd Gigerenzer, Peter M. Todd, ABC Research Group
Categories: Psychology
Type: BOOK - Published: 2000-10-12 - Publisher: Oxford University Press

Simple Heuristics That Make Us Smart invites readers to embark on a new journey into a land of rationality that differs from the familiar territory of cognitive science and economics. Traditional views of rationality tend to see decision makers as possessing superhuman powers of reason, limitless knowledge, and all of
Simple Heuristics that Make Us Smart
Language: en
Pages: 416
Authors: Gerd Gigerenzer, Peter M. Todd, ABC Research Group
Categories: Decision making
Type: BOOK - Published: 1999 - Publisher:

Fast and frugal heuristics - simple rules for making decisions with realistic mental resources - are presented here. Developing computational models of heuristics shows how fast and frugal heuristics can yield adaptive decisions.
Bounded Rationality
Language: en
Pages: 394
Authors: Gerd Gigerenzer, Reinhard Selten
Categories: Business & Economics
Type: BOOK - Published: 2002-07-26 - Publisher: MIT Press

In a complex and uncertain world, humans and animals make decisions under the constraints of limited knowledge, resources, and time. Yet models of rational decision making in economics, cognitive science, biology, and other fields largely ignore these real constraints and instead assume agents with perfect information and unlimited time. About
Adaptive Thinking
Language: en
Pages: 344
Authors: Gerd Gigerenzer
Categories: Philosophy
Type: BOOK - Published: 2002-03-07 - Publisher: Oxford University Press on Demand

Where do new ideas come from? What is social intelligence? Why do social scientists perform mindless statistical rituals? Most importantly, what counts as adaptive thinking as our minds try to cope with the world around us?
Integrated Models of Cognitive Systems
Language: en
Pages: 470
Authors: Wayne D. Gray
Categories: Medical
Type: BOOK - Published: 2007-04-19 - Publisher: Oxford University Press

The field of cognitive modeling has progressed beyond modeling cognition in the context of simple laboratory tasks and begun to attack the problem of modeling it in more complex, realistic environments, such as those studied by researchers in the field of human factors. The problems that the cognitive modeling community