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    Hegde, Seema B. Babu, B. Satish and Venkataram, Pallapa 2016. A Cognitive Theory-based Opportunistic Resource-Pooling Scheme for Ad hoc Networks. Journal of Intelligent Systems,


    Beer, Randall D. and Williams, Paul L. 2015. Information Processing and Dynamics in Minimally Cognitive Agents. Cognitive Science, Vol. 39, Issue. 1, p. 1.


    Hutto, Daniel D. and Sánchez-García, Raúl 2015. Choking RECtified: embodied expertise beyond Dreyfus. Phenomenology and the Cognitive Sciences, Vol. 14, Issue. 2, p. 309.


    McGregor, S. Virgo, N. and Dyke, J. 2007. 2007 IEEE Symposium on Artificial Life. p. 317.

    Korn, Henri and Faure, Philippe 2003. Is there chaos in the brain? II. Experimental evidence and related models. Comptes Rendus Biologies, Vol. 326, Issue. 9, p. 787.


    Beer, Randall D. 2000. Dynamical approaches to cognitive science. Trends in Cognitive Sciences, Vol. 4, Issue. 3, p. 91.


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Framing the debate between computational and dynamical approaches to cognitive science

  • Randall D. Beer (a1)
  • DOI: http://dx.doi.org/10.1017/S0140525X98231736
  • Published online: 01 October 1998
Abstract

van Gelder argues that computational and dynamical systems are mathematically distinct kinds of systems. Although there are real experimental and theoretical differences between adopting a computational or dynamical perspective on cognition, and the dynamical approach has much to recommend it, the debate cannot be framed this rigorously. Instead, what is needed is careful study of concrete models to improve our intuitions.

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Behavioral and Brain Sciences
  • ISSN: 0140-525X
  • EISSN: 1469-1825
  • URL: /core/journals/behavioral-and-brain-sciences
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