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      Nested incremental modeling in the development of computational theories: the CDP+ model of reading aloud.

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          Abstract

          At least 3 different types of computational model have been shown to account for various facets of both normal and impaired single word reading: (a) the connectionist triangle model, (b) the dual-route cascaded model, and (c) the connectionist dual process model. Major strengths and weaknesses of these models are identified. In the spirit of nested incremental modeling, a new connectionist dual process model (the CDP+ model) is presented. This model builds on the strengths of 2 of the previous models while eliminating their weaknesses. Contrary to the dual-route cascaded model, CDP+ is able to learn and produce graded consistency effects. Contrary to the triangle and the connectionist dual process models, CDP+ accounts for serial effects and has more accurate nonword reading performance. CDP+ also beats all previous models by an order of magnitude when predicting individual item-level variance on large databases. Thus, the authors show that building on existing theories by combining the best features of previous models--a nested modeling strategy that is commonly used in other areas of science but often neglected in psychology--results in better and more powerful computational models.

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          Author and article information

          Journal
          Psychol Rev
          Psychological review
          American Psychological Association (APA)
          0033-295X
          0033-295X
          Apr 2007
          : 114
          : 2
          Affiliations
          [1 ] Faculty of Life and Social Sciences, Swinburne University of Technology, Melbourne, VIC, Australia. conradperry@gmail.com
          Article
          2007-05396-003
          10.1037/0033-295X.114.2.273
          17500628
          ea0fd048-365e-475a-a024-720e671ac607
          (c) 2007 APA, all rights reserved.
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