Minds and Machines 16 (4):381-436 (2006)
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Abstract |
A computer can come to understand natural language the same way Helen Keller did: by using “syntactic semantics”—a theory of how syntax can suffice for semantics, i.e., how semantics for natural language can be provided by means of computational symbol manipulation. This essay considers real-life approximations of Chinese Rooms, focusing on Helen Keller’s experiences growing up deaf and blind, locked in a sort of Chinese Room yet learning how to communicate with the outside world. Using the SNePS computational knowledge-representation system, the essay analyzes Keller’s belief that learning that “everything has a name” was the key to her success, enabling her to “partition” her mental concepts into mental representations of: words, objects, and the naming relations between them. It next looks at Herbert Terrace’s theory of naming, which is akin to Keller’s, and which only humans are supposed to be capable of. The essay suggests that computers at least, and perhaps non-human primates, are also capable of this kind of naming.
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Keywords | Animal communication Chinese Room Argument Helen Keller Herbert Terrace Knowledge representation Names Natural-language understanding SNePS Syntactic semantics |
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Reprint years | 2007 |
DOI | 10.1007/s11023-007-9054-6 |
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References found in this work BETA
Philosophical Investigations.Ludwig Josef Johann Wittgenstein - 1953 - New York, NY, USA: Wiley-Blackwell.
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Citations of this work BETA
Computers Aren’T Syntax All the Way Down or Content All the Way Up.Cem Bozşahin - 2018 - Minds and Machines 28 (3):543-567.
Yes, She Was!: Reply to Ford’s “Helen Keller Was Never in a Chinese Room”.William J. Rapaport - 2011 - Minds and Machines 21 (1):3-17.
Contextual Vocabulary Acquisition: From Algorithm to Curriculum.Michael W. Kibby & William J. Rapaport - 2014 - In Adriano Palma (ed.), Castañeda and His Guises: Essays on the Work of Hector-Neri Castañeda. De Gruyter. pp. 107-150.
View all 11 citations / Add more citations
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