Advertisement

Compstat pp 175-180 | Cite as

Automatic Acquisition of Knowledge Base from Data without Expert: ESOD (Expert System from Observational Data)

  • J. Ivánek
  • B. Stejskal
Conference paper

Abstract

The acquisition of knowledge from experts is nowadays the most demanding activity in the construction of expert systems. Hence the effort for its automation [5,11] follows. In 1984–86 we developed the ESOD expert system shell [7,8,12], in which the knowledge base is acquired automatically from observational data.

Keywords

Knowledge Base Observational Data Expert System Testing Part Inference Mechanism 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    ACLS-Superfile Manual. London, Southdata Ltd. 1984, 26p.Google Scholar
  2. [2]
    EXPERT-EASE for the IBM PC and Compatibles. User Manual. intelligent Terminals Ltd. 1983Google Scholar
  3. [3]
    Hájek P.: Combining functions in consulting systems and dependence of premises (a remark). In: Proc. 3.ICAIICR Smolenice. Amsterdam, North-Holland 1984, p.163–166.Google Scholar
  4. [4]
    Hájek, P. — Havránek, T.: Mechanizing Hypothesis Formation — Mathematical Foundations for a General Theory. Berlin, Springer-Verlag 1978, 396p.zbMATHCrossRefGoogle Scholar
  5. [5]
    Hájek P. — Ivánek J.: Artificial intelligence and data analysis. In: Proc. COMPSTAT’82 Toulouse. Vienna, Physica-Verlag 1982, p.54–60Google Scholar
  6. [6]
    Ivánek J. — Stejskal B.: Some characteristics of categorical data with regard to a given target combination of properties. (in Czech) Prague School of Economics, Dept. of Scientific and Technical Information, Working Note 13, 1987, 7p.Google Scholar
  7. [7]
    Ivánek J. — Stejskal B.: ESOD (Expert System from Observational Data) and its testing. (in Czech) In: Metody umëlé inteligence a expertni systémy III. Praha, ČSVTS-FEL-ČVUT 1987, p.141–150Google Scholar
  8. [8]
    Ivánek J. — Stejskal B.: ESOD (Expert System from Observational Data) and possibilities of its aplication. (in Czech) In: Aplikace expertnich systémů. Dům techniky ČSVTS České Budëjovice 1988Google Scholar
  9. [9]
    Ivánek J.-Stejskal B.: An aplication of the EXPERT-EASE system on observational data and a comparison with the ESOD system. (in Czech) In: AI’88, Prague, ÚISK 1988, p. 125–132Google Scholar
  10. [10]
    Ivánek J. — Stejskal B.: Combinational data analysis. In: Proc. COMPSTAT’84 Prague, Summaries of short communications and posters. Czechoslovak Academy of SciencesGoogle Scholar
  11. [11]
    Michalski R.S. — Carbonell J.G. — Mitchell T.M. (ed.): Machine Learning. An Artificial Intelligence Approach. Palo Alto, Tioga 1983, 572 p.Google Scholar
  12. [12]
    Stejskal, B. — Ivánek, J.: ESOD (Expert System from Observational Data). User manual. (in Czech) Prague School of Economics, Dept. of Scientific and Technical Information, Working Note 16, 1987,Google Scholar
  13. [13]
    Stejskal, B. — Ivánek, J.: Software for combinational data analysis. (in Czech) Prague School of Economics, Dept. of Scientific and Technical Information, Working Note 9, 1986, 30p.Google Scholar

Copyright information

© Physica-Verlag Heidelberg 1988

Authors and Affiliations

  • J. Ivánek
    • 1
  • B. Stejskal
    • 1
  1. 1.PragueCzech Republic

Personalised recommendations