• Publications
  • Influence
Judgment Under Uncertainty
Some people may be laughing when looking at you reading in your spare time. Some may be admired of you. And some may want be like you who have reading hobby. What about your own feel? Have you feltExpand
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Universal aesthetic of fractals
Abstract Since their discovery by Mandelbrot (The Fractal Geometry of Nature, Freeman, New York, 1977), fractals have experienced considerable success in quantifying the complex structure exhibitedExpand
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Re-visions of rationality?
  • B. Newell
  • Medicine, Psychology
  • Trends in Cognitive Sciences
  • 31 January 2005
The appeal of simple algorithms that take account of both the constraints of human cognitive capacity and the structure of environments has been an enduring theme in cognitive science. A novelExpand
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Personal experience and the ‘psychological distance’ of climate change: An integrative review
Studies examining personal experiences of climate change-related events highlight the potential to encourage climate action by framing it as happening now, in your neighborhood, and affecting peopleExpand
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Empirical tests of a fast-and-frugal heuristic: Not everyone "takes-the-best"
Abstract The fast-and-frugal heuristics approach to decision making under uncertainty advocated by Gigerenzer and colleagues (e.g., Gigerenzer & Goldstein, 1996 ) has achieved great popularityExpand
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In conflict with ourselves? An investigation of heuristic and analytic processes in decision making
Many theorists propose two types of processing: heuristic and analytic. In conflict tasks, in which these processing types lead to opposing responses, giving the analytic response may requireExpand
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Unconscious influences on decision making: a critical review.
To what extent do we know our own minds when making decisions? Variants of this question have preoccupied researchers in a wide range of domains, from mainstream experimental psychology (cognition,Expand
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Biased samples not mode of presentation: Re-examining the apparent underweighting of rare events in experience-based choice
Most experimental investigations of risky choice provide participants with a description of the probabilities and outcomes for each option, and observe that small probabilities are overweighted.Expand
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The Average Laboratory Samples a Population of 7,300 Amazon Mechanical Turk Workers
Using capture-recapture analysis (a tool used by ecologists to estimate the size of hard to observe populations) we estimate the effective size of the active Amazon Mechanical Turk (MTurk) populationExpand
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Insight and strategy in multiple-cue learning.
In multiple-cue learning (also known as probabilistic category learning) people acquire information about cue-outcome relations and combine these into predictions or judgments. Previous researchersExpand
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