27 Facts About Turing test

Turing test, originally called the imitation game by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human.

Turing test proposed that a human evaluator would judge natural language conversations between a human and a machine designed to generate human-like responses.

Since Turing introduced his test, it has been both highly influential and widely criticised, and has become an important concept in the philosophy of artificial intelligence.

Descartes therefore prefigures the Turing test by defining the insufficiency of appropriate linguistic response as that which separates the human from the automaton.

Later in the paper, Turing test suggests an "equivalent" alternative formulation involving a judge conversing only with a computer and a man.

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Turing test's paper considered nine putative objections, which include all the major arguments against artificial intelligence that have been raised in the years since the paper was published .

The first conTuring test was won by a mindless program with no identifiable intelligence that managed to fool naive interrogators into making the wrong identification.

Huma Shah points out that Turing test himself was concerned with whether a machine could think and was providing a simple method to examine this: through human-machine question-answer sessions.

Since the Turing test is a test of indistinguishability in performance capacity, the verbal version generalises naturally to all of human performance capacity, verbal as well as nonverbal .

Common understanding has it that the purpose of the Turing test is not specifically to determine whether a computer is able to fool an interrogator into believing that it is a human, but rather whether a computer could imitate a human.

Sterrett agrees that the standard Turing test has the problems that its critics cite but feels that, in contrast, the original imitation game test so defined is immune to many of them, due to a crucial difference: Unlike the STT, it does not make similarity to human performance the criterion, even though it employs human performance in setting a criterion for machine intelligence.

Still other writers have interpreted Turing as proposing that the imitation game itself is the test, without specifying how to take into account Turing's statement that the test that he proposed using the party version of the imitation game is based upon a criterion of comparative frequency of success in that imitation game, rather than a capacity to succeed at one round of the game.

Format of the Turing test allows the interrogator to give the machine a wide variety of intellectual tasks.

The Turing test can be extended to include video input, as well as a "hatch" through which objects can be passed: this would force the machine to demonstrate skilled use of well designed vision and robotics as well.

When Turing test does introduce some specialised knowledge into one of his imagined dialogues, the subject is not maths or electronics, but poetry:.

Turing did not explicitly state that the Turing test could be used as a measure of "intelligence", or any other human quality.

Turing test wanted to provide a clear and understandable alternative to the word "think", which he could then use to reply to criticisms of the possibility of "thinking machines" and to suggest ways that research might move forward.

Nevertheless, the Turing test has been proposed as a measure of a machine's "ability to think" or its "intelligence".

Since human behaviour and intelligent behaviour are not exactly the same thing, the Turing test can fail to accurately measure intelligence in two ways:.

Turing test anticipated this line of criticism in his original paper, writing:.

One interesting feature of the Turing test is the frequency of the confederate effect, when the confederate humans are misidentified by the interrogators as machines.

Critical aspect of the Turing test is that a machine must give itself away as being a machine by its utterances.

Mainstream AI researchers argue that trying to pass the Turing test is merely a distraction from more fruitful research.

Turing test pointed out that it overcomes most if not all standard objections levelled at the standard version.

Turing test proposes a test in which the machine is confronted with philosophical questions that do not depend on any prior knowledge and yet require self-reflection to be answered appropriately.

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Turing test inspired the Ebert test proposed in 2011 by film critic Roger Ebert which is a test whether a computer-based synthesised voice has sufficient skill in terms of intonations, inflections, timing and so forth, to make people laugh.

In parallel to the 2008 Loebner Prize held at the University of Reading, the Society for the Study of Artificial Intelligence and the Simulation of Behaviour, hosted a one-day symposium to discuss the Turing test, organised by John Barnden, Mark Bishop, Huma Shah and Kevin Warwick.