Seeing Patterns in Randomness: A Computational Model of Surprise
Topics in Cognitive Science 11 (1):103-118 (2019)
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This article has no associated abstract. (fix it)DOI
10.1111/tops.12345
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Citations of this work
Editors’ Introduction and Review: An Appraisal of Surprise: Tracing the Threads That Stitch It Together.Edward L. Munnich, Meadhbh I. Foster & Mark T. Keane - 2019 - Topics in Cognitive Science 11 (1):37-49.
Why the Conjunction Effect Is Rarely a Fallacy: How Learning Influences Uncertainty and the Conjunction Rule.Phil Maguire, Philippe Moser, Rebecca Maguire & Mark T. Keane - 2018 - Frontiers in Psychology 9.
References found in this work
Causality: Models, Reasoning and Inference.Christopher Hitchcock & Judea Pearl - 2001 - Philosophical Review 110 (4):639.
Simplicity: A unifying principle in cognitive science?Nick Chater & Paul Vitányi - 2003 - Trends in Cognitive Sciences 7 (1):19-22.
Mechanisms of theory formation in young children.Alison Gopnik - 2004 - Trends in Cognitive Sciences 8 (8):371-377.
Bayesian theories of conditioning in a changing world.Aaron C. Courville, Nathaniel D. Daw & David S. Touretzky - 2006 - Trends in Cognitive Sciences 10 (7):294-300.
Reconciling simplicity and likelihood principles in perceptual organization.Nick Chater - 1996 - Psychological Review 103 (3):566-581.
