David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
In Matthias Scheutz (ed.), Computationalism: New Directions. MIT Press (2002)
What language allows us to do is to "steal" categories quickly and effortlessly through hearsay instead of having to earn them the hard way, through risky and time-consuming sensorimotor "toil" (trial-and-error learning, guided by corrective feedback from the consequences of miscategorisation). To make such linguistic "theft" possible, however, some, at least, of the denoting symbols of language must first be grounded in categories that have been earned through sensorimotor toil (or else in categories that have already been "prepared" for us through Darwinian theft by the genes of our ancestors); it cannot be linguistic theft all the way down. The symbols that denote categories must be grounded in the capacity to sort, label and interact with the proximal sensorimotor projections of their distal category-members in a way that coheres systematically with their semantic interpretations, both for individual symbols, and for symbols strung together to express truth-value-bearing propositions
|Keywords||Category Computation Language Meaning Symbol|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
Porfírio Silva (forthcoming). Human, Machines, and the Interpretation of Formal Systems. AI and Society.
Similar books and articles
Vincent C. Müller (2009). Symbol Grounding in Computational Systems: A Paradox of Intentions. Minds and Machines 19 (4):529-541.
Stevan Harnad (1995). Grounding Symbols in Sensorimotor Categories with Neural Networks. Institute of Electrical Engineers Colloquium on "Grounding Representations.
Stevan Harnad (1994). Computation is Just Interpretable Symbol Manipulation; Cognition Isn't. Minds and Machines 4 (4):379-90.
Stevan Harnad (1990). The Symbol Grounding Problem. Philosophical Explorations 42:335-346.
Stevan Harnad, Learning Word Meaning From Dictionary Definitions: Sensorimotor Induction Precedes Verbal Instruction.
Angelo Cangelosi, Alberto Greco & Stevan Harnad (2002). Symbol Grounding and the Symbolic Theft Hypothesis. In A. Cangelosi & D. Parisi (eds.), Simulating the Evolution of Language. Springer-Verlag 191--210.
Susan Schneider (2009). The Nature of Symbols in the Language of Thought. Mind and Language 24 (5):523-553.
Stevan Harnad & Stephen J. Hanson, Learned Categorical Perception in Neural Nets: Implications for Symbol Grounding.
Angelo Cangelosi (2001). Evolution of Communication and Language Using Signals, Symbols and Words. [Journal (on-Line/Unpaginated)].
Added to index2009-01-28
Total downloads77 ( #51,521 of 1,789,722 )
Recent downloads (6 months)7 ( #121,568 of 1,789,722 )
How can I increase my downloads?