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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 1 of 1 1 Everyone’s a Critic: Memory Models and Uses for an Artificial Turing Judge 1 W. Joseph Macinnes; Blair C. Armstrong; Dwayne Pare; George S. Cree; Steve Joordens In: http://agi-conf.org/2009/papers/paper_19.pdf 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. Keyword: Decision Making; General Knowledge; Language; Machine learning; Turing test URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.5910 http://agi-conf.org/2009/papers/paper_19.pdf BASE Hide details

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