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A unified account of abstract structure and conceptual change: Probabilistic models and early learning mechanisms
Behavioral and Brain Sciences 34 (3):129-130 (2011)
Abstract
We need not propose, as Carey does, a radical discontinuity between core cognition, which is responsible for abstract structure, and language and which are responsible for learning and conceptual change. From a probabilistic models view, conceptual structure and learning reflect the same principles, and they are both in place from the beginningAuthor's Profile
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Citations of this work
A Unified Account of General Learning Mechanisms and Theory‐of‐Mind Development.Theodore Bach - 2014 - Mind and Language 29 (3):351-381.
From Alan Turing to modern AI: practical solutions and an implicit epistemic stance.George F. Luger & Chayan Chakrabarti - 2017 - AI and Society 32 (3):321-338.
References found in this work
A Theory of Causal Learning in Children: Causal Maps and Bayes Nets.Alison Gopnik, Clark Glymour, Laura Schulz, Tamar Kushnir & David Danks - 2004 - Psychological Review 111 (1):3-32.
Word learning as Bayesian inference.Fei Xu & Joshua B. Tenenbaum - 2007 - Psychological Review 114 (2):245-272.
Action experience alters 3-month-old infants' perception of others' actions.Jessica A. Sommerville, Amanda L. Woodward & Amy Needham - 2005 - Cognition 96 (1):B1-B11.
Learning a theory of causality.Noah D. Goodman, Tomer D. Ullman & Joshua B. Tenenbaum - 2011 - Psychological Review 118 (1):110-119.
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