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Interpreting the Internal Structure of a Connectionist Model of the Balance Scale Task

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Brain and Mind

Abstract

One new tradition that has emerged from early research on autonomous robots is embodied cognitive science. This paper describes the relationship between embodied cognitive science and a related tradition, synthetic psychology. It is argued that while both are synthetic, embodied cognitive science is antirepresentational while synthetic psychology still appeals to representations. It is further argued that modern connectionism offers a medium for conducting synthetic psychology, provided that researchers analyze the internal representations that their networks develop. The paper then provides a detailed example of the synthetic approach by showing how the construction (and subsequent analysis) of a connectionist network can be used to contribute to a theory of how humans solve Piaget's classic balance scale task.

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Authors and Affiliations

  1. Biological Computation Project, University of Alberta, Edmonton, Alberta, Canada, T6G 2E9

    Michael R. W. Dawson

  2. Department of Psychology, Illinois State University, Campus Box 4620, Normal, IL, 61790-4620, U.S.A.

    Corinne Zimmerman

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  1. Michael R. W. Dawson
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  2. Corinne Zimmerman
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Dawson, M.R.W., Zimmerman, C. Interpreting the Internal Structure of a Connectionist Model of the Balance Scale Task. Brain and Mind 4, 129–149 (2003). https://doi.org/10.1023/A:1025449410732

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