Behavioral and Brain Sciences



Short Communication

Modeling consciousness


Frédéric Dandurand a1 and Thomas R. Shultz a1
a1 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

Abstract

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.



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