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TY - GEN
ID - cogprints2132
UR - http://cogprints.org/2132/
A1 - Cangelosi, Angelo
A1 - Greco, Alberto
A1 - Harnad, Stevan
Y1 - 2002///
N2 - Computational simulations are used to model the following: (1) category learning through sensorimotor trial and error ("sensorimotor toil") and how it generates categorical perception (decreased between-category similarity and increased within-category similarity); (2) symbol grounding (the connection between symbols and the sensorimotor categories that they name); (3) the origins of language as the capacity to acquire categories indirectly, by definition alone ("symbolic theft"); and (4) the evolutionary advantage of acquiring categories by this symbolic theft instead of sensorimotor toil.
PB - Springer, London
KW - perceptual learning
KW - symbol grounding
KW - categorical perception
KW - categorization
KW - evolution of language
KW - neural nets
TI - Symbol Grounding and the Symbolic Theft Hypothesis
AV - public
ER -