Connectionism and Cognitive Architecture Connectionism and Cognitive Architecture : 1 A Critical Analysis

This paper explores the difference between Connectionist proposals for cognitive a r c h i t e c t u r e a n d t h e s o r t s o f m o d e l s t hat have traditionally been assum e d i n c o g n i t i v e s c i e n c e . W e c l a i m t h a t t h e m a j o r d i s t i n c t i o n i s t h a t , w h i l e b o t h Connectionist and Classical architectures postulate representational mental states, the latter but not the former are committed to a symbol-level of representation, or to a ‘language of thought’: i.e., to representational states that have combinatorial syntactic and semantic structure. Several arguments for combinatorial structure in mental representations are then reviewed. These include arguments based on the ‘systematicity’ of mental representation: i.e., on the fact that cognitive capacities always exhibit certain symmetries, so that the ability to entertain a given thought implies the ability to entertain thoughts with semantically related contents. We claim that such arguments make a powerful case that mind/brain architecture is not Connectionist at the cognitive level. We then consider the possibility that Connectionism may provide an account of the neural (or ‘abstract neurological’) structures in which Classical cognitive architecture is implemented. We survey a n u m b e r o f t h e s t a n d a r d a r g u m e n t s t h a t h a v e b e e n o f f e r e d i n f a v o r o f Connectionism, and conclude that they are coherent only on this interpretation. Connectionist or PDP models are catching on. There are conferences and new books nearly every day, and the popular science press hails this new wave of theorizing as a breakthrough in understanding the mind (a typical example is the article in the May issue of Science 86, called “How we think: A new theory”). There are also, inevitably, descriptions of the emergence of

[1]  Jerome A. Feldman,et al.  Connectionist Models and Their Properties , 1982, Cogn. Sci..

[2]  P. Smolensky On the proper treatment of connectionism , 1988, Behavioral and Brain Sciences.

[3]  Geoffrey E. Hinton,et al.  Connectionist Architectures for Artificial Intelligence , 1990, Computer.

[4]  W. Schneider Connectionism: Is it a paradigm shift for psychology? , 1987 .

[5]  James L. McClelland,et al.  PDP models and general issues in cognitive science , 1986 .

[6]  James L. McClelland,et al.  On learning the past-tenses of English verbs: implicit rules or parallel distributed processing , 1986 .

[7]  D. Broadbent A question of levels: comment on McClelland and Rumelhart , 1985 .

[8]  W. Daniel Hillis,et al.  The connection machine , 1985 .

[9]  James L. McClelland,et al.  Levels indeed! A response to Broadbent , 1985 .

[10]  Steven Pinker,et al.  Language learnability and language development , 1985 .

[11]  S. Kosslyn,et al.  Representation without symbol systems , 1984 .

[12]  E. Stabler How are grammers represented? , 1983, Behavioral and Brain Sciences.

[13]  R. Cummins The nature of psychological explanation , 1983 .

[14]  Allen Newell,et al.  The Knowledge Level , 1989, Artif. Intell..

[15]  Tj Sejnowski,et al.  Skeleton filters in the brain , 2014 .

[16]  P. Churchland Eliminative materialism and the propositional attitudes , 1993 .

[17]  E. Lang Semantics: theories of meaning in generative grammar: Janet Dean Fodor, New York: Thomas Y. Crowell Comp. 1977. xi + 225 pp. $ 12.50 (cloth). , 1980 .

[18]  Allen Newell,et al.  Physical Symbol Systems , 1980, Cogn. Sci..

[19]  H E Wanner,et al.  An ATN approach to comprehension , 1978 .

[20]  Carl Hewitt,et al.  Viewing Control Structures as Patterns of Passing Messages , 1977, Artif. Intell..

[21]  P. Rakić Local circuit neurons. , 1975, Neurosciences Research Program bulletin.

[22]  Noam Chomsky,et al.  Language and Mind , 1973 .

[23]  J. Fodor,et al.  The structure of a semantic theory , 1963 .

[24]  Paul Ziff,et al.  Semantic Analysis , 1960 .