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

W Joseph MacInnes, Blair C. Armstrong, Dwayne Pare, George S Cree, Steve Joordens

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)132-137
Number of pages6
JournalAdvances in Intelligent Systems Research
Publication statusPublished - 2009


  • semantic memory
  • general knowledge
  • decision making
  • machine learning
  • language
  • Turing test
  • latent semantic analysis


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