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"Grounding symbols in sensorimotor categories with neural networks"^^ .
"It is unlikely that the systematic, compositional properties of formal symbol systems -- i.e., of\ncomputation -- play no role at all in cognition. However, it is equally unlikely that cognition is just\ncomputation, because of the symbol grounding problem (Harnad 1990): The symbols in a symbol\nsystem are systematically interpretable, by external interpreters, as meaning something, and that is a\nremarkable and powerful property of symbol systems. Cognition (i.e., thinking), has this property too:\nOur thoughts are systematically interpretable by external interpreters as meaning something. However,\nunlike symbols in symbol systems, thoughts mean what they mean autonomously: Their meaning does\nnot consist of or depend on anyone making or being able to make any external interpretations of them\nat all. When I think \"the cat is on the mat,\" the meaning of that thought is autonomous; it does not\ndepend on YOUR being able to interpret it as meaning that (even though you could interpret it that\nway, and you would be right)."^^ .
"1995" .
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"Stevan"^^ .
"Harnad"^^ .
"Stevan Harnad"^^ .
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"Grounding symbols in sensorimotor categories with neural networks (HTML)"^^ .
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"harnad95.iee.html"^^ .
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"Grounding symbols in sensorimotor categories with neural networks (Indexer Terms)"^^ .
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"indexcodes.txt"^^ .
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"HTML Summary of #1593 \n\nGrounding symbols in sensorimotor categories with neural networks\n\n" .
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"Artificial Intelligence" .
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"Dynamical Systems" .
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"Neural Nets" .
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"Perceptual Cognitive Psychology" .
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