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Regelsysteme

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Künstliche Intelligenz in Bild- und Sprachanalyse

Part of the book series: Leitfäden und Monographien der Informatik ((LMI))

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Zusammenfassung

Regelsysteme, auch Produktionensysteme genannt, stellen eine weitere „klassische“ Methode für die Wissensrepräsentation und Inferenz in der künstlichen Intelligenz dar. Besondere Bedeutung haben Regelsysteme durch die Tatsache gewonnen, dass ein Grossteil der heute bekannten Expertensysteme auf diesem Formalismus beruht. Es existieren zahlreiche Anwendungen von Regelsystemen in Bild- und Spracherkennung.

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Bibliografischer Rückblick

  1. Aikins, J.S.: A Representation Scheme Using Both Frames and Rules. In [4], 424–440

    Google Scholar 

  2. Bratko, I.: PROLOG Programming for Artificial Intelligence. Addison Wesley, Reading, Ma., 1986

    MATH  Google Scholar 

  3. Brownston, L., Farell, R., Kant, E., Martin, N.; Programming Expert Systems in OPS5. Addison Wesley Publ. Co., Reading, Ma., 1986

    Google Scholar 

  4. Buchanan, B.G., Shortliffe, E.: Rule-Based Expert Systems. Addison-Wesley Publ. Co., Reading, Ma. 1985

    Google Scholar 

  5. Davis, R.: Meta-Rules: Reasoning about Control. Art. Intell. 15 (1980) 179–222

    Article  Google Scholar 

  6. Davis, R., King, J.J.: An Overview of Production Systems. In Elock, E.W., Michie, D. (eds.): Machine Intelligence 8. Ellis Horwood, Chichester, England (1977) 300–332

    Google Scholar 

  7. Davis, R., King, J.J.: The Origin of Rule-Based Systems in AI. In [4], 20–52

    Google Scholar 

  8. Duda, R.O., Hart, P.E., Nilsson, N.J., Sutherland, G.L.: Semantic Network Representations in Rule-Based Inference Systems. In [18], 203–221

    Google Scholar 

  9. Georgeff, M.: Procedural Control in Production Systems. Art. Intell. 18 (1982) 175–201

    Article  Google Scholar 

  10. Harmon, P., King, D.: Expert ystems - Artificial Intelligence in Business. John Wiley and Sons, New York etc., 1985

    Google Scholar 

  11. Mostow, D.J., Hayes-Roth, F.: A Production System for Speech Understanding. In [18], 471–481

    Google Scholar 

  12. Nagao, M., Matsuyama, T.: A Structural Analysis of Complex Aerial Photographs. Plenum Press, New York, 1980

    Book  Google Scholar 

  13. Nazif, A.M., Levine, M.D.: Low Level Image Segmentation: An Expert System. IEEE Trans. PAMI-6 (1984) 555–577

    Google Scholar 

  14. Nilsson, N.J.: Principles of Artificial Intelligence. Springer, Berlin, Heidelberg, New York, 1983

    Google Scholar 

  15. Post, E.: Formal Reductions of the General Combinatorial Problem. American Journal of Mathematics 65 (1943) 197–268

    Article  MathSciNet  MATH  Google Scholar 

  16. di Primio, F., Bungers, D., Christaller, T.: BABYLON als Werkzeug zum Aufbau von Expertensystemen. In Brauer, W., Radig, B. (Hrsg.): Wissensbasierte Systeme. Informatik Fachberichte 112, Springer, Berlin, Heidelberg, New York, Tokyo (1985) 70–79

    Google Scholar 

  17. Shortliffe, E.H.: Computer-Based Medical Consultations: MYCIN. Elsevier, New York, Oxford, Amsterdam, 1976.

    Google Scholar 

  18. Waterman, D.A., Hayes-Roth, F.: Pattern-Directed Inference Systems. Academic Press, Orlando etc., 1978

    MATH  Google Scholar 

  19. Waterman, D.A., Hayes-Roth, F.: An Overview of Pattern-Directed Inference Systems. In [18], 3–22

    Google Scholar 

  20. Winston, P.H., Horn, B.P.K.: LISP. Addisson-Wesley, Reading, Ma., 1981

    MATH  Google Scholar 

  21. Wos, L., Overbeek, R., Lusk, E., Boyle, J.: Automated Reasoning. Introduction and Applications. Prentice Hall, Englewood Cliffs, New Jersey, 1984

    Google Scholar 

  22. Zisman, M.D.: Use of Production Systems for Modeling Asynchronous, Concurrent Processes. In [18], 53–68

    Google Scholar 

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Author information

Authors and Affiliations

  1. Universität Erlangen-Nürnberg, Erlangen, Deutschland

    Prof. Dr.-Ing. Heinrich Niemann (Professor)

  2. Universität Bern, Bern, Schweiz

    Prof. Dr.-Ing. Horst Bunke (Professor)

Authors
  1. Prof. Dr.-Ing. Heinrich Niemann
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  2. Prof. Dr.-Ing. Horst Bunke
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© 1987 B. G. Teubner Stuttgart

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Niemann, H., Bunke, H. (1987). Regelsysteme. In: Künstliche Intelligenz in Bild- und Sprachanalyse. Leitfäden und Monographien der Informatik. Vieweg+Teubner Verlag, Wiesbaden. https://doi.org/10.1007/978-3-322-96664-3_4

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  • DOI: https://doi.org/10.1007/978-3-322-96664-3_4

  • Publisher Name: Vieweg+Teubner Verlag, Wiesbaden

  • Print ISBN: 978-3-519-02261-9

  • Online ISBN: 978-3-322-96664-3

  • eBook Packages: Springer Book Archive

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