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Compositionality: A Connectionist Variation on a Classical Theme
Author(s) -
Gelder Tim
Publication year - 1990
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/s15516709cog1403_2
Subject(s) - connectionism , principle of compositionality , variation (astronomy) , computer science , cognitive science , theme (computing) , artificial neural network , artificial intelligence , psychology , physics , astrophysics , operating system
Connectionism has been attacked on the grounds that it does not employ compositionally structured representations (e.g., Fodor & Pylyshyn, 1988). This article develops the response that Connectionist models can, and in fact sometimes do, employ compositionally structured representations without, thereby, simply implementing a Classical “Language of Thought.” Focusing on the mode of combination employed in constructing representations, it distinguishes concatenative compositionality, essential to the Classical approach, from a merely functional counterpart increasingly common in Connectionist research. On the basis of this distinction it is possible to demonstrate that Connectionist representations can be compositional without being Classical, and further, that Fodor and Pylyshyn's supposedly conclusive arguments in favor of the Classical approach do not in fact support that approach over the Connectionist alternative (as opposed to an “ossociotionist” straw man).