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Modeling consciousness

Published online by Cambridge University Press:  11 June 2003

Frédéric Dandurand  and
Thomas R. Shultz
Frédéric Dandurand
Affiliation:
Department of Psychology, McGill University, Montréal, Québec, H3A 1B1 Canada F.Dandurand@sympatico.ca thomas.shultz@mcgill.ca http://www.psych.mcgill.ca/perpg/fac/shultz/default.html
Thomas R. Shultz
Affiliation:
Department of Psychology, McGill University, Montréal, Québec, H3A 1B1 Canada F.Dandurand@sympatico.ca thomas.shultz@mcgill.ca http://www.psych.mcgill.ca/perpg/fac/shultz/default.html
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Abstract

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Perruchet & Vinter do not fully resolve issues about the role of consciousness and the unconscious in cognition and learning, and it is doubtful that consciousness has been computationally implemented. The cascade-correlation (CC) connectionist model develops high-order feature detectors as it learns a problem. We describe an extension, knowledge-based cascade-correlation (KBCC), that uses knowledge to learn in a hierarchical fashion.

Information

Type
Brief Report
Information
Behavioral and Brain Sciences , Volume 25 , Issue 3 , June 2002 , pp. 334
Copyright
© 2002 Cambridge University Press