Skip to main content

Abstract

Efforts to develop knowledge-based systems have now been pursued for over two decades. Languages, inference methods, architectures, and tools have reached a certain standard and have led to interesting and successful applications. Nevertheless, there is still some mystery and confusion among the public about this area. The purpose of this article is to provide a short and simple but nonetheless informative description of the topic including some indications of present trends in research. It should also be remarked that knowledge-based systems (as well as other techniques coming from artificial intelligence) are in no way mysterious and could be understood without knowing what “intelligence” really is. They are nothing more than problem solving methods which have some interesting and (sometimes) new features.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Abecker A., Wache H.: A Layer Architecture for the Integration of Rules, Inheritance, and Constraints. ICLP 1994 Post-Conference Workshop on the Integration of Declarative Paradigms, ed. Ait-Kaci et al.

    Google Scholar 

  • Ait-Kaci H., Nasser R.: LOGIN: Electronic Programming Language with Built in Inheritance. J. of Logic Programming 3 (1986), p. 185–215

    Article  Google Scholar 

  • Allen J.F.: Towards a General Theory of Action and Time. Artificial Intelligence 23 (1984), p. 123–154

    Article  MATH  Google Scholar 

  • Boley H., Hanschke Ph., Hinkelmann K., Meyer M.: COLAB: A hybrid knowledgerepresentation and compilation laboratory. Annals of Oper. Res. 55 (1995), p. 11–79

    Article  MATH  Google Scholar 

  • Boley H.: A Tight, Practical Integration of Relations and Functions. Habilitationsschrift Kaiserslautern 1996

    Google Scholar 

  • Brachmann R.J., Schmolze J.G.: An overview of the KL-ONE representation System, Cognitive Science 9 (1985), p. 171–216

    Article  Google Scholar 

  • Dincbas M., Simony A., v. Hentensyck P.: Solving large combinatorical problems in logic programming. Journal on Logic Programming 8 (1990), p. 75–93

    Article  MATH  Google Scholar 

  • Foucault M.: Les Mots et les Choses. (Editions Gallimard, 1966)

    Google Scholar 

  • Hanschke Ph.: A Declarative Integration of Terminological, Constraint-based, Data driven and Goul-directed Reasoning. Ph. Thesis Kaiserslautern 1993 (also infixVerlag 1996)

    Google Scholar 

  • Hinkelmann K.: Transformation von Hornklausel-Wissensbasen: Verarbeitung gleichen Wissens durch verschiedene Inferenzen, (infix-Verlag, 1995)

    Google Scholar 

  • Lenat D., Guha R.V.: Building Large Knowledge-Based Systems. (Addison-Wesley, 1990)

    Google Scholar 

  • Maurer F.: Hypermediabasiertes Knowledge Engineering für verteilte wissensbasierte, (infix-Verlag, 1993).

    Google Scholar 

  • Meyer M.: Finite Domain Constraints: Declarativity meets Efficiency, Theory meets Application, (infix-Verlag, 1994)

    Google Scholar 

  • Richter M.M.: Self-Organization, Artificial Intelligence and Connectionism. In: On Self-Organization, ed. Mishra R.K., Maa D., Zwierlein E. (Springer-Verlag, 1994), p. 80–91

    Google Scholar 

  • Shafer G.: A mathematical theory of evidence. (Princeton University Press, 1976).

    MATH  Google Scholar 

  • Schmidt G.: Modellbasierte, interaktive Wissensakquisition und Dokumentation von Domänenwissen MIKADO, (infix-Verlag, 1995)

    Google Scholar 

  • Weichselberger K., Pöhlmann S.: A Methodology for Uncertainty in Knowledge-Based Systems. Springer Lecture Notes in AI 419 (1990)

    MATH  Google Scholar 

  • Weß S., Althoff K.D., Richter M.M.: Topics in Case-Based Reasoning. EWCBR’93, Selected Papers, Springer LNAI 837 (1994)

    MATH  Google Scholar 

  • Wielinga B., Boose, B., G. Gaines, G. Schreiber, M. van Someren (eds.) : Current Trends Knowledge Acquisition (IOS Press, 1990)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Richter, M.M. (1998). Knowledge-Based Systems. In: Ratsch, U., Richter, M.M., Stamatescu, IO. (eds) Intelligence and Artificial Intelligence. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-03667-9_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-03667-9_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-08358-7

  • Online ISBN: 978-3-662-03667-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics