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 -