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Part of the book series: Symbolic Computation ((1064))

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Abstract

A method of overcoming the problem of Insufficient information. A system may be told that unless it has information to the contrary certain defaults are assumed to be true. Systems that have default information are non-monotonic in the logical sense: this means that by adding certain pieces of information it may be that less results are provable than before this information was known. Examples of systems utilising default reasoning are Thnot in PLANNER <143> and the negation as failure of PROLOG <196>. In the latter the system assumes that if it has not been told that a certain fact is true then it is false: this is the so-called closed world assumption. See truth maintenance system <250>.

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Reference

  1. Nilsson, N.J. Principles of Artificial Intelligence. Tioga Pub. Co.. 1980. pages 408–411.

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© 1984 Springer-Verlag Berlin Heidelberg

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Bundy, A., Wallen, L. (1984). Default Reasoning. In: Bundy, A., Wallen, L. (eds) Catalogue of Artificial Intelligence Tools. Symbolic Computation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-96868-6_48

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  • DOI: https://doi.org/10.1007/978-3-642-96868-6_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-13938-6

  • Online ISBN: 978-3-642-96868-6

  • eBook Packages: Springer Book Archive

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