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  1. Judgement under Uncertainty: Heuristics and Biases.Daniel Kahneman, Paul Slovic & Amos Tversky - 1985 - British Journal for the Philosophy of Science 36 (3):331-340.
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  • Vision: Variations on Some Berkeleian Themes.Robert Schwartz & David Marr - 1985 - Philosophical Review 94 (3):411.
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  • Benefits of multisensory learning.Ladan Shams & Aaron R. Seitz - 2008 - Trends in Cognitive Sciences 12 (11):411-417.
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  • Vision.David Marr - 1982 - W. H. Freeman.
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  • Judgment Under Uncertainty: Heuristics and Biases.Daniel Kahneman, Paul Slovic & Amos Tversky (eds.) - 1982 - Cambridge University Press.
    The thirty-five chapters in this book describe various judgmental heuristics and the biases they produce, not only in laboratory experiments but in important...
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  • Additive clustering: Representation of similarities as combinations of discrete overlapping properties.Roger N. Shepard & Phipps Arabie - 1979 - Psychological Review 86 (2):87-123.
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  • Rational Models of Cognition.Mike Oaksford & Nick Chater (eds.) - 1998 - Oxford University Press UK.
    This book explores a new approach to understanding the human mind - rational analysis - that regards thinking as a facility adapted to the structure of the world. This approach is most closely associated with the work of John R Anderson, who published the original book on rational analysis in 1990. Since then, a great deal of work has been carried out in a number of laboratories around the world, and the aim of this book is to bring this work (...)
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  • Measurement and modeling of depth cue combination: In defense of weak fusion.M. S. Landy, L. T. Maloney, E. B. Johnston & M. Young - 1995 - Vision Research 35:389--412.
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  • The perception of emotions by ear and by eye.Beatrice de Gelder & Jean Vroomen - 2000 - Cognition and Emotion 14 (3):289-311.
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  • The Probabilistic Mind: Prospects for Bayesian Cognitive Science.Nick Chater & Mike Oaksford (eds.) - 2008 - Oxford University Press.
    'The Probabilistic Mind' is a follow-up to the influential and highly cited 'Rational Models of Cognition'. It brings together developments in understanding how, and how far, high-level cognitive processes can be understood in rational terms, and particularly using probabilistic Bayesian methods.
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