Search results
Results From The WOW.Com Content Network
The Turing machine was invented in 1936 by Alan Turing, [7] [8] who called it an "a-machine" (automatic machine). [9] It was Turing's doctoral advisor, Alonzo Church, who later coined the term "Turing machine" in a review. [10] With this model, Turing was able to answer two questions in the negative:
According to the Church–Turing thesis, Turing machines and the lambda calculus are capable of computing anything that is computable. John von Neumann acknowledged that the central concept of the modern computer was due to Turing's paper. [63] To this day, Turing machines are a central object of study in theory of computation. [64]
(This is the essential insight of the Church–Turing thesis and the universal Turing machine.) Therefore, if any digital machine can "act like it is thinking", then every sufficiently powerful digital machine can. Turing writes, "all digital computers are in a sense equivalent." [15] This allows the original question to be made even more specific.
The naming of the Enigma-breaking machine "Christopher" after Turing's childhood friend, with Turing the only cryptographer working on it while others either did not help or outright opposed it. In reality, this electromechanical machine was named "Victory" and it was a collaborative, not individual, effort.
In his 1936 paper, Turing described his idea as a "universal computing machine", but it is now known as the Universal Turing machine. [citation needed] Turing was sought by Womersley to work in the NPL on the ACE project; he accepted and began work on 1 October 1945 and by the end of the year he completed his outline of his 'Proposed electronic ...
Turing then describes (rather loosely) the algorithm (method) to be followed by a machine he calls H. Machine H contains within it the decision-machine D (thus D is a “subroutine” of H). Machine H’s algorithm is expressed in H’s table of instructions, or perhaps in H’s Standard Description on tape and united with the universal machine ...
Two pioneers in the field of reinforcement learning, Andrew Barto and Richard Sutton, are the winners of this year's A.M. Turing Award, the tech world's equivalent of the Nobel Prize.
In computer science, a universal Turing machine (UTM) is a Turing machine capable of computing any computable sequence, [1] as described by Alan Turing in his seminal paper "On Computable Numbers, with an Application to the Entscheidungsproblem". Common sense might say that a universal machine is impossible, but Turing proves that it is possible.