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
Link To Document :
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