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14 - Computational Approaches to Cognitive Development

Bayesian and Artificial-Neural-Network Models

from Subpart II.1 - Infancy: The Roots of Human Thinking

Published online by Cambridge University Press:  24 February 2022

By
Ardavan S. Nobandegani  and
Thomas R. Shultz
Edited by
Olivier Houdé  and
Grégoire Borst
Olivier Houdé
Affiliation:
Université de Paris V
Grégoire Borst
Affiliation:
Université de Paris V
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Summary

As in other sciences, formal modeling and simulation have assumed an important role in organizing and explaining cognitive development and providing a more unified account of its computational underpinnings. This chapter reviews research using two of the most influential approaches to such modeling: Bayesian and artificial neural networks. The techniques are explained for a general audience and concrete examples are described, providing both an in-depth and broad coverage of the literature.

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Chapter
Information
The Cambridge Handbook of Cognitive Development , pp. 318 - 338
Publisher: Cambridge University Press
Print publication year: 2022

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