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(in press). In H. Cohen & C. Lefebvre (Eds.), Categorization in cognitive science. New York: Elsevier. Multiple Systems of Perceptual Category Learning: Theory and Cognitive Tests
 

Summary: (in press). In H. Cohen & C. Lefebvre (Eds.), Categorization in cognitive science. New York: Elsevier.
Multiple Systems of Perceptual Category Learning: Theory and Cognitive Tests
F. Gregory Ashby & Vivian V. Valentin
University of California, Santa Barbara
The COVIS (COmpetition between Verbal and Implicit Systems) theory of category
learning (Ashby, Alsonso-Reese, Turken, & Waldron, 1998) postulates two systems that
compete throughout learning a frontal-based explicit system that uses logical reasoning
and depends on working memory and executive attention, and a basal ganglia-mediated
implicit system that uses procedural learning. The implicit system can learn a wide
variety of category structures, but it learns in a slow incremental fashion and is highly
dependent on reliable and immediate feedback. In contrast, the explicit rule-based system
can learn a fairly small set of category structures quickly specifically, those structures
that can be learned via an explicit reasoning process. This theory is described in detail
and a variety of cognitive-behavioral experiments are reviewed that test some parameter-
free a priori predictions made by COVIS.
All animals must learn to categorize objects and
events in their environment to survive. Is the mushroom
edible or poisonous? Is the object behind the bush a
deer or a wolf? Correct classification allows animals to
select the appropriate approach or avoidance response to

  

Source: Ashby, F. Gregory - Department of Psychology, University of California at Santa Barbara

 

Collections: Biology and Medicine; Computer Technologies and Information Sciences