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Symbolic Versus Associative Learning
Author(s) -
Hummel John E.
Publication year - 2010
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 - 10.1111/j.1551-6709.2010.01096.x
Subject(s) - associative property , associative learning , computer science , artificial intelligence , cognitive science , psychology , cognitive psychology , mathematics , pure mathematics
Ramscar and colleagues (2010, this volume) describe the “feature‐label‐order” (FLO) effect on category learning and characterize it as a constraint on symbolic learning. I argue that FLO is neither a constraint on symbolic learning in the sense of “learning elements of a symbol system” (instead, it is an effect on nonsymbolic, association learning) nor is it, more than any other constraint on category learning, a constraint on symbolic learning in the sense of “solving the symbol grounding problem.”