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- W36088475 abstract "This chapter discusses artificial intelligence (AI) and knowledge-based systems. In the Turing test, a person converses with another person and the putatively intelligent system over two teletypes. He asks a series of questions and is supposed to decide, on the basis of the answers, as to which set of responses come from the person and which from the computer system. If he is unable to decide, then the system passes the Turing test and may be considered intelligent. Despite its appeal, the Turing test runs into two kinds of difficulty. First it sets an impossibly high standard. If the user is permitted to ask any questions whatsoever, and Turing's original statement of the test makes it clear that this is the intention, the test is unlikely to be achieved in the next couple of generations. All successful AI programs, even those whose success is modest, have achieved such success as they have achieved only by focusing on a limited domain. The second kind of difficulty is that the test is, if applied with sufficient generosity to allow for the possibility of success, too easy. Current chess computers play chess rather well, but this has not been because of the increased sophistication of the evaluation function, which would represent the incorporation of chess-playing knowledge into the program, but because hardware developments have increased the look-ahead capability to an extent that renders the use of judgement of largely decorative importance." @default.
- W36088475 created "2016-06-24" @default.
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- W36088475 date "1990-01-01" @default.
- W36088475 modified "2023-09-28" @default.
- W36088475 title "Introduction to Artificial Intelligence and Knowledge-Based Systems" @default.
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- W36088475 doi "https://doi.org/10.1016/b978-0-12-086440-9.50005-1" @default.
- W36088475 hasPublicationYear "1990" @default.
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