Skip to main content
    • Aa
    • Aa
  • Get access
    Check if you have access via personal or institutional login
  • Cited by 4
  • Cited by
    This article has been cited by the following publications. This list is generated based on data provided by CrossRef.

    Stephen, Damian G. and Mirman, Daniel 2010. Interactions dominate the dynamics of visual cognition. Cognition, Vol. 115, Issue. 1, p. 154.

    Munakata, Yuko 2007. Handbook of Child Psychology.

    Verguts, Tom and Fias, Wim 2006. Lexical and syntactic structures in a connectionist model of reading multi-digit numbers. Connection Science, Vol. 18, Issue. 3, p. 265.

    Anderson, John R. Bothell, Daniel Byrne, Michael D. Douglass, Scott Lebiere, Christian and Qin, Yulin 2004. An Integrated Theory of the Mind.. Psychological Review, Vol. 111, Issue. 4, p. 1036.


Developing a domain-general framework for cognition: What is the best approach?

  • James L. McClelland (a1), David C. Plaut (a1), Stephen J. Gotts (a2) and Tiago V. Maia (a3)
  • DOI:
  • Published online: 01 October 2003

We share with Anderson & Lebiere (A&L) (and with Newell before them) the goal of developing a domain-general framework for modeling cognition, and we take seriously the issue of evaluation criteria. We advocate a more focused approach than the one reflected in Newell's criteria, based on analysis of failures as well as successes of models brought into close contact with experimental data. A&L attribute the shortcomings of our parallel-distributed processing framework to a failure to acknowledge a symbolic level of thought. Our framework does acknowledge a symbolic level, contrary to their claim. What we deny is that the symbolic level is the level at which the principles of cognitive processing should be formulated. Models cast at a symbolic level are sometimes useful as high-level approximations of the underlying mechanisms of thought. The adequacy of this approximation will continue to increase as symbolic modelers continue to incorporate principles of parallel distributed processing.

Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Behavioral and Brain Sciences
  • ISSN: 0140-525X
  • EISSN: 1469-1825
  • URL: /core/journals/behavioral-and-brain-sciences
Please enter your name
Please enter a valid email address
Who would you like to send this to? *