Simple Heuristics That Make Us Smart
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Oxford University Press (1999)
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.
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|Call number||BD260.G54 1999|
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Citations of this work BETA
Maarten Boudry, Stefaan Blancke & Massimo Pigliucci (2014). What Makes Weird Beliefs Thrive? The Epidemiology of Pseudoscience. Philosophical Psychology 28 (8):1177-1198.
Peter Carruthers (2009). How We Know Our Own Minds: The Relationship Between Mindreading and Metacognition. Behavioral and Brain Sciences 32 (2):121.
Michael L. Anderson (2010). Neural Reuse: A Fundamental Organizational Principle of the Brain. Behavioral and Brain Sciences 33 (4):245.
Gerd Gigerenzer & Henry Brighton (2009). Homo Heuristicus: Why Biased Minds Make Better Inferences. Topics in Cognitive Science 1 (1):107-143.
Matt Jones & Bradley C. Love (2011). Bayesian Fundamentalism or Enlightenment? On the Explanatory Status and Theoretical Contributions of Bayesian Models of Cognition. Behavioral and Brain Sciences 34 (4):169-188.
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