• DocumentCode
    2498377
  • Title

    Is the connectionist notion of subconcepts flawed?

  • Author

    Roy, Asim

  • Author_Institution
    W. P. Carey Sch. of Bus., Arizona State Univ., Tempe, AZ, USA
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The issue of mental representation of symbols has plagued cognitive science for decades and still doesn´t have a resolution. The basic dispute is between the symbol system hypothesis of artificial intelligence, whose proponents include Newell and Simon, Newell, Smith, Fodor and Pylyshyn and others, and Smolensky style connectionism where a “high level” concept or symbol is represented by a number of subconcepts (subsymbols). Both sides claim their representational systems to be at the cognitive level, which means the elements used in their representational systems have meaning. In this paper, we take a closer look at Smolensky style connectionism and find it to be flawed in a number of ways. In particular, the cognitive level subconcepts (subsymbols with meaning) used by Smolensky are inconsistent with a number of principles of human learning. We argue that the subsymbolic distributed representation at the non-cognitive neural layer (McClelland and others) is sufficient to represent a concept or symbol and that an additional layer of cognitive level subconcepts (Smolensky) is redundant.
  • Keywords
    cognition; neural nets; neurophysiology; nomenclature; Smolensky style connectionism; artificial intelligence; cognitive level subconcepts; connectionist notion; human learning; mental symbol representation; noncognitive neural layer; representational systems; subsymbolic distributed representation; symbol system hypothesis; Cognitive science; Dairy products; Ear; Humans; Motor drives; Radiation detectors; Semantics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2010 International Joint Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-6916-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2010.5596954
  • Filename
    5596954