Skip to main content

On indefinite databases and the closed world assumption

  • Conference paper
  • First Online:
6th Conference on Automated Deduction (CADE 1982)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 138))

Included in the following conference series:

Abstract

A database is said to be indefinite if there is an answer to a query of the form Pa V Pb where neither Pa nor Pb can be derived from the database. Indefinite databases arise where, in general, the data consists of non-Horn clauses. A clause is non-Horn if it is a disjunction of literals in which more than one literal in the clause is positive.

Horn databases, which comprise most databases in existence, do not admit answers of the form Pa V Pb where neither Pa nor Pb are derivable from the database. It has been shown by Reiter that in such databases one can make an assumption, termed the Closed World Assumption (CWA), that to prove that ¯Pa is true, one can try to prove Pa, and if the proof for Pa fails, one can assume ¯Pa is true.

When a database consists of Horn and non-Horn clauses, Reiter has shown that it is not possible to make the CWA. In this paper we investigate databases that consist of Horn and non-Horn clauses. We extend the definition of CWA to apply to such databases. The assumption needed for such databases is termed the Generalized Closed World Assumption (GCWA). Syntactic and semantic definitions of generalized closed worlds are given. It is shown that the two definitions are equivalent. In addition, given a class of null values it is shown that the GCWA gives a correct interpretation for null values.

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Clark, K.L. 1978, “Negation as Failure” In Logic and Data Bases (H. Gallaire and J. Minker, Eds.), Plenum Press, New York, N.Y., 1978, 293–322.

    Google Scholar 

  2. Davis, M. 1980, “The Mathematics of Non-Monotonic Reasoning”, Artificial Intelligence Journal, 13, 2 (April 1980), 73–80.

    Article  Google Scholar 

  3. Hewitt, C. 1972, “Descrintion and Theoretical Analysis (Using Schemata) of PLANNER: A Language for Proving Theorems and Manipulating Models in a Robot”, AI Memo No. 251, MIT Project MAC, Cambridge, Mass., April 1980.

    Google Scholar 

  4. Hill, R. 1974, “LUSH Resolution and its Completeness” DCL Memo No. 78, University of Edinburg School of Artificial Intelligence, August 1974.

    Google Scholar 

  5. Kowalski, R.A. and Kuehner, D. 1971, “Linear Resolution with Selection Function” Artificial Intelligence Vol. 2, 1971, 227–260.

    Article  Google Scholar 

  6. Kowalski, R.A. 1978, “Logic for Data Description”, In Loqic and Data Bases (H. Gallaire and J. Minker, Eds.), Plenum Press, New York, N.Y., 1978, 77–103.

    Google Scholar 

  7. Loveland, D.W. 1968, “Mechanical Theorem Proving by Model Elimination”, JACM 15, (April 1968) 236–251.

    Google Scholar 

  8. Loveland, D.W., Stickel, M.E. 1973, “A Hole in Goal Trees: Some Guidance from Resolution Theory”, Reproduced in IEEE Transactions on Computers, C-25, April 1976, 335–341.

    Google Scholar 

  9. Loveland, D.W. 1978, Automated Theorem Proving: A Logical Basis, North Holland Publishing Co., New York, 1978.

    Google Scholar 

  10. McCarthy, J. 1980, “Circumscription — A Form of Non-Monotonic Reasoning”, Artificial Intelligence Journal, 13, 2 (April 1980), 27–39.

    Article  Google Scholar 

  11. McDermott, D. and J. Doyle 1980, “Non-Monotonic Logic I”, Artificial Intelligence Journal, 13, 2 (Apirl 1980), 41–72.

    Article  Google Scholar 

  12. McCarthy, J. 1980, “Addendum: Circumscription and other Non-Montonic Formalisms”, Artificial Intelligence Journal, 13, 2 (April 1980), 171–172.

    Article  Google Scholar 

  13. Minker, J. and Zanon, G. 1979, “LUST Resolution: Resolution with Arbitrary Selection Function”, University of Maryland Technical Report TR-736, February 1979.

    Google Scholar 

  14. Nicolas, J.M. and Syre, J.C. 1974, “Natural Question Answering and Automatic Deduction in the System Syntex”, Proceedings IFIP Congress 1974, Stockholm, Sweden, August 1974.

    Google Scholar 

  15. Nicolas, J.M. and Gallaire, H. 1978, “Data Bases: Theory vs. Interpretation”, In Logic and Data Bases (H. Gallaire and J. Minker, Eds.), Plenum Press, New York, N.Y. 1978, 33–54.

    Google Scholar 

  16. Reiter, R. 1971, “Two Results on Ordering for Resolution with Merging and Linear Format”, JACM 18, (October 1971), 630–646.

    Article  Google Scholar 

  17. Reiter, R. 1978a, “Deductive Question-Answering on Relational Data Bases”, In Logic and Data Bases (H. Gallaire and J. Minker, Eds.), Plenum Press, New York, N.Y. 1978, 149–177.

    Google Scholar 

  18. Reiter, R. 1978b, “On Closed World Data Bases”, In Logic and Data Bases (H. Gallaire and J. Minker, Eds.), Plenum Press, New York, N.Y., 1978, 55–76.

    Google Scholar 

  19. Reiter, R. 1980, “A Logic for Default Reasoning”, Artificial Intelligence Journal, 13, 2 (April 1980), 81–132.

    Article  Google Scholar 

  20. Roussel, P. 1975, PROLOG — Manuel de Reference et de Utilisation, Groupe d' Intelligence Artificielle, Universite d' Air Marseilles, Luminy, September 1975.

    Google Scholar 

  21. van Emden, M.H. 1977, “Computation and Deductive Information Retrieval”, Department of Computer Science, University of Waterloo, Ont., Research Report CS-77-16, May 1977.

    Google Scholar 

  22. van Emden, M.H. and Kowalski, R.A. 1976, “The Semantics of Predicate Logic as a Programming Language” JACM 23, 4 (October 1976), 723–742.

    Google Scholar 

  23. Weyhrauch, R. W. 1980, “Prologomena to a Theory of Mechanized Formal Reasoning” Artificial Intelligence Journal, 13, 2 (April 1980), 133–170.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

D. W. Loveland

Rights and permissions

Reprints and permissions

Copyright information

© 1982 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Minker, J. (1982). On indefinite databases and the closed world assumption. In: Loveland, D.W. (eds) 6th Conference on Automated Deduction. CADE 1982. Lecture Notes in Computer Science, vol 138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0000066

Download citation

  • DOI: https://doi.org/10.1007/BFb0000066

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-11558-8

  • Online ISBN: 978-3-540-39240-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics