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The Turing test, originally called the imitation game by Alan Turing in 1949, [2] is a test of a machine's ability to exhibit intelligent behaviour equivalent to that of a human. In the test, a human evaluator judges a text transcript of a natural-language conversation between a human and a machine. The evaluator tries to identify the machine ...
The "standard interpretation" of the Turing Test, in which the interrogator is tasked with trying to determine which player is a computer and which is a human Main article: Turing test Rather than trying to determine if a machine is thinking, Turing suggests we should ask if the machine can win a game, called the " Imitation Game ".
The Winograd schema challenge (WSC) is a test of machine intelligence proposed in 2012 by Hector Levesque, a computer scientist at the University of Toronto.Designed to be an improvement on the Turing test, it is a multiple-choice test that employs questions of a very specific structure: they are instances of what are called Winograd schemas, named after Terry Winograd, professor of computer ...
For the first time ever, a computer has successfully convinced people into thinking it's an actual human in the iconic "Turing Test." Computer science pioneer Alan Turing created the test in 1950 ...
A comparison between predictions and sensory input yields a difference measure (e.g. prediction error, free energy, or surprise) which, if it is sufficiently large beyond the levels of expected statistical noise, will cause the internal model to update so that it better predicts sensory input in the future.
The Summer Camp Test hints at what we need more of in AI: Systems built to solve real problems, from the mundane (like summer camp logistics) to the game-changing (like novel pharmaceutical research).
Coding theory is one of the most important and direct applications of information theory. It can be subdivided into source coding theory and channel coding theory. Using a statistical description for data, information theory quantifies the number of bits needed to describe the data, which is the information entropy of the source.
A related concept is that of Turing equivalence – two computers P and Q are called equivalent if P can simulate Q and Q can simulate P. [4] The Church–Turing thesis conjectures that any function whose values can be computed by an algorithm can be computed by a Turing machine, and therefore that if any real-world computer can simulate a ...