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Connectionist Models and Their Properties
Author(s) -
Feldman J.A.,
Ballard D.H.
Publication year - 1982
Publication title -
cognitive science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.498
H-Index - 114
eISSN - 1551-6709
pISSN - 0364-0213
DOI - 10.1207/s15516709cog0603_1
Subject(s) - connectionism , computer science , representation (politics) , cognitive science , extension (predicate logic) , massively parallel , cognition , artificial intelligence , information processing , theoretical computer science , artificial neural network , psychology , cognitive psychology , programming language , neuroscience , politics , parallel computing , political science , law
Much of the progress in the fields constituting cognitive science has been based upon the use of explicit information processing models, almost exclusively patterned after conventional serial computers. An extension of these ideas to massively parallel, connectionist models appears to offer a number of advantages. After a preliminary discussion, this paper introduces a general connectionist model and considers how it might be used in cognitive science. Among the issues addressed are: stability and noise‐sensitivity, distributed decision‐making, time and sequence problems, and the representation of complex concepts.