Everyone's a Critic: Memory Models and Uses for an Artificial Turing Judge

Authors
W. Joseph MacInnes, Blair C. Armstrong, Dwayne Pare, George S. Cree, Steve Joordens
Corresponding Author
W. Joseph MacInnes
Available Online June 2009.
DOI
https://doi.org/10.2991/agi.2009.34How to use a DOI?
Abstract
The Turing test was originally conceived by Alan Turing [20] to determine if a machine had achieved human-level intelligence. Although no longer taken as a comprehensive measure of human intelligence, passing the Turing test remains an interesting challenge as evidenced by the still unclaimed Loebner prize[7], a high profile prize for the first AI to pass a Turing style test. In this paper, we sketch the development of an artificial "Turing judge" capable of critically evaluating the likelihood that a stream of discourse was generated by a human or a computer. The knowledge our judge uses to make the assessment comes from a model of human lexical semantic memory known as latent semantic analysis[9]. We provide empirical evidence that our implemented judge is capable of distinguishing between human and computer generated language from the Loebner Turing test competition with a degree of success similar to human judges. Keywords Semantic Memory, General Knowledge, Decision Making, Machine learning, Language, Turing test.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Proceedings of the 2nd Conference on Artificiel General Intelligence (2009)
Part of series
Advances in Intelligent Systems Research
Publication Date
June 2009
ISBN
978-90-78677-24-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/agi.2009.34How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - W. Joseph MacInnes
AU  - Blair C. Armstrong
AU  - Dwayne Pare
AU  - George S. Cree
AU  - Steve Joordens
PY  - 2009/06
DA  - 2009/06
TI  - Everyone's a Critic: Memory Models and Uses for an Artificial Turing Judge
BT  - Proceedings of the 2nd Conference on Artificiel General Intelligence (2009)
PB  - Atlantis Press
SP  - 158
EP  - 163
SN  - 1951-6851
UR  - https://doi.org/10.2991/agi.2009.34
DO  - https://doi.org/10.2991/agi.2009.34
ID  - MacInnes2009/06
ER  -