The Convergence Argument in Mind-Modelling: Scaling Up from Toyland to the Total Turing Test


Harnad, Stevan (1994) The Convergence Argument in Mind-Modelling: Scaling Up from Toyland to the Total Turing Test. Cognoscenti: Bulletin of the Toronto Cognitive Science Society, 2, 35-39.

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Description/Abstract

The Turing Test is just a methodological constraint forcing us to scale up to an organisms' full functional capacity. This is still just an epistemic matter, not an ontic one. Even a candidate in which we have successfully reverse-engineered all human capacities is not guaranteed to have a mind. The right level of convergence, however, is total robotic capacity; symbolic capacity alone (the standard Turing Test) is underdetermined, whereas full neurosimilitude is overdetermined.

Item Type: Article
Additional Information: Reprinted in PSYCOLOQUY 11(078) 2000 ftp://ftp.princeton.edu/pub/harnad/Psycoloquy/2000.volume.11/ psyc.00.11.078.ai-cognitive-science.18.harnad http://www.cogsci.soton.ac.uk/cgi/psyc/newpsy?11.078
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
ePrint ID: 253362
Date Deposited: 25 May 2000
Last Modified: 27 Mar 2014 19:55
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/253362

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