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  1. (1 other version)Homo Heuristicus: Why Biased Minds Make Better Inferences.Gerd Gigerenzer & Henry Brighton - 2009 - Topics in Cognitive Science 1 (1):107-143.
    Heuristics are efficient cognitive processes that ignore information. In contrast to the widely held view that less processing reduces accuracy, the study of heuristics shows that less information, computation, and time can in fact improve accuracy. We review the major progress made so far: the discovery of less-is-more effects; the study of the ecological rationality of heuristics, which examines in which environments a given strategy succeeds or fails, and why; an advancement from vague labels to computational models of heuristics; the (...)
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  • Finding Useful Questions: On Bayesian Diagnosticity, Probability, Impact, and Information Gain.Jonathan D. Nelson - 2005 - Psychological Review 112 (4):979-999.
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  • Errors, efficiency, and the interplay between attention and category learning.Mark R. Blair, Marcus R. Watson & Kimberly M. Meier - 2009 - Cognition 112 (2):330-336.
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  • Fortune favors the ( ): Effects of disfluency on educational outcomes.Connor Diemand-Yauman, Daniel M. Oppenheimer & Erikka B. Vaughan - 2011 - Cognition 118 (1):111-115.
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  • Increasing information access cost to protect against interruption effects during problem solving.Phillip L. Morgan, John Patrick & Tanya Patrick - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 949--955.
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  • Towards a rational theory of human information acquisition.Jonathan Nelson - 2008 - In Nick Chater & Mike Oaksford (eds.), The Probabilistic Mind: Prospects for Bayesian Cognitive Science. Oxford University Press.
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