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Part of the book series: Leitfäden der angewandten Informatik ((XLAI,volume 2))

Zusammenfassung

Worin unterscheiden sich Methoden der Artificial Intelligence von den, in der Informatik üblichen Methoden?

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Literatur

  • Banerji R.B.: Artificial Intelligence: a Theoretical Approach, Elsevier, New York; 1980.

    Google Scholar 

  • Berliner H.: The B* Tree Search Algorithm: A Best-First Proof Procedure, Artificial Intelligence, 12(1)23; 1979.

    Article  MathSciNet  Google Scholar 

  • Fikes R.E., Nilsson N.J.: STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving, Artificial Intelligence, 2, 189–208; 1971.

    Article  MATH  Google Scholar 

  • Kowalski R.: Logic for Problem Solving, North-Holland, New York; 1979.

    MATH  Google Scholar 

  • Lenat D.B.: The Nature of Heuristics, Artificial Intelligence, 19(2)189–249; 1982.

    Article  Google Scholar 

  • Minsky M.: A Framework for Representing Knowledge, in Winston P.H. (ed.), The Psychology of Computer Vision, McGraw-Hill, New York; 1975.

    Google Scholar 

  • Newell A., Shaw J.C., und Simon H.: Report on a General Problem Solving Program, Proc.Int.Conf. Information Processing ( UNESCO ), Paris; 1959.

    Google Scholar 

  • Newell A., Simon H.A.: Human Problem Solving, Prentice Hall, Englewood Cliffs, N.J.; 1972.

    Google Scholar 

  • Nilsson N.J.: Principles of Artificial Intelligence, Tioga, Palo Alto, CA; 1980.

    MATH  Google Scholar 

  • Pearl J.: Heuristics: Intelligent Search Strategies for Computer Problem Solving, Addison-Wesley, Reading, Mass.; 1983.

    Google Scholar 

  • Pearl J. (ed.): Special Issue on Search and Heuristics, Artificial Intelligence, 21(1–2); 1983.

    Google Scholar 

  • Sacerdoti E.D.: Planning in a Hierarchy of Abstraction Spaces. Artificial Intelligence, 5, 115–135; 1974.

    Article  MATH  Google Scholar 

  • Sacerdoti E.D.: A Structure for Plans and Behavior, Elsevier, New York; 1977.

    MATH  Google Scholar 

  • Winston P.H. (ed.): The Psychology of Computer Vision, McGraw-Hill, New York; 1975.

    Google Scholar 

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© 1986 B. G. Teubner Stuttgart

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Horn, W. (1986). Methoden der Artificial Intelligence. In: Artificial Intelligence — Eine Einführung. Leitfäden der angewandten Informatik, vol 2. Vieweg+Teubner Verlag, Wiesbaden. https://doi.org/10.1007/978-3-322-93997-5_3

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  • DOI: https://doi.org/10.1007/978-3-322-93997-5_3

  • Publisher Name: Vieweg+Teubner Verlag, Wiesbaden

  • Print ISBN: 978-3-519-12473-3

  • Online ISBN: 978-3-322-93997-5

  • eBook Packages: Springer Book Archive

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