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How computational models help explain the origins of reasoning

Mareschal, Denis and Thomas, Michael S.C. (2006) How computational models help explain the origins of reasoning. IEEE Computational Intelligence Magazine 1 (3), pp. 32-40. ISSN 1556-603x.

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Official URL: http://dx.doi.org/10.1109/MCI.2006.1672986

Abstract

Developmental psychology is ready to blossom into a modern science that focuses on causal mechanistic explanations of development rather than just describing and classifying the skills that children show at different ages. Computational models of cognitive development are formal systems that track the changes in information processing taking place as a behavior is acquired. Models are generally implemented as psychologically constrained computer simulations that learn tasks such as reasoning, categorization, and language. Their principal use is as tools for exploring mechanisms of transition (development) from one level of competence to the next during the course of cognitive development. They have been used to probe questions such as the extent of ‘pre-programmed’ or innate knowledge that exists in the infant mind, and how the sophistication of reasoning can increase with age and experience.

Item Type: Article
Keyword(s) / Subject(s): Cognition, Computational modeling, Cybernetics, Feedback, Layout, Pediatrics, Proposals, Psychology, Speech, Visual system
School or Research Centre: Birkbeck Schools and Research Centres > School of Science > Psychological Sciences
Depositing User: Sarah Hall
Date Deposited: 15 Mar 2012 15:26
Last Modified: 17 Apr 2013 12:22
URI: http://eprints.bbk.ac.uk/id/eprint/4636

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