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Turing Tests with Turing Machines

Jose Hernandez-Orallo, Javier Insa, David Dowe and Bill Hibbard

Paper Information

TitleTuring Tests with Turing Machines
AuthorsJose Hernandez-Orallo, Javier Insa, David Dowe and Bill Hibbard
Keywords:Turing test, Turing machine, intelligence, learning, imitation games, Solomonoff-Kolmogorov complexity, game theory, human unpredictability, matching pennies
Abstract:Comparative tests work by finding the difference (or the absence of difference) between a reference subject and an evaluee. The Turing Test, in its standard interpretation, takes (a subset of) the human species as a reference. Motivated by recent findings and developments in the area of machine intelligence evaluation, we discuss what it would be like to have a Turing Test where the reference and the interrogator subjects are replaced by Turing Machines. This question sets the focus on several issues that are usually disregarded when dealing with the Turing Test, such as the degree of intelligence of reference and interrogator, the role of imitation (and not only prediction) in intelligence, its view from the perspective of game theory and others. Around these issues, this paper finally brings the Turing Test to the realm of Turing machines.
Volume:Turing-100. The Alan Turing Centenary
Editors:Andrei Voronkov
BibTeX entry:
  author    = {Jose Hernandez-Orallo and Javier Insa and David Dowe and Bill Hibbard},
  title     = {Turing Tests with Turing Machines},
  booktitle = {Turing-100},
  editor    = {Andrei Voronkov},
  series    = {EPiC Series},
  volume    = {10},
  pages     = {140-156},
  year      = {2012},
  publisher = {EasyChair},
  bibsource = {EasyChair, http://www.easychair.org},
  issn      = {2040-557X},