Skip to main content
SpringerLink
Log in

A temporal extension to the Parsimonious Covering Theory

  • Logic Programming, Temporal Reasoning and Belief Functions
  • Conference paper
  • First Online:
Advances in Artificial Intelligence (SBIA 1996)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1159))

Included in the following conference series:

Abstract

In this work we propose a temporal extension to the Parsimonious Covering Theory (PCT). PCT provides a theoretical foundation for the diagnostic reasoning process as an abductive reasoning based associations between causes with their consequences. Our temporal extension of PCT allows one to associate to a disease a temporal evolution of its symptoms.

The elimination of temporally inconsistent hypotheses minimizes one of the greatest problems of PCT: the solution for a particular diagnsotic problem may include a large number of alternative hypotheses. Furthermore, the inclusion of temporal aspects to an extension of PCT that includes probabilistic information also eliminates the problems of incorrectly rejecting hypotheses if a necessary symptom has not yet occurred.

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

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. L.Console, A. J. Rivolin, D. T. Dupré, and P. Torasso, Integration of causal and temporal reasoning in diagnostic problem solving, in:Proc. 9th International Workshop on Expert Systems and Their Applications (Conference on 2nd Generation Expert Systems), (1989).

    Google Scholar 

  2. L. Console and P. Torasso, Temporal constraint satisfaction on causal models, Information Sciences, 68 (1993) 1–32.

    Google Scholar 

  3. I. Hamlet and J. Hunter, A representation of time for medical expert systems, Lecture Notes Med. Informatics, 33 (1987) 112–119.

    Google Scholar 

  4. G. L. Mandell, R. G. Douglas and J. E. Bennett, Principles and pratice of infectious diseases 3ed. (1990).

    Google Scholar 

  5. R. S. Patil, Causal representation of patient illness for eletrolyte and acid-base diagnosis, MIT Laboratory for Computer Science, Technical Report, MIT/LCS/TR-267, (1981).

    Google Scholar 

  6. Y. Peng and J. A. Reggia, Abductive Inference Models for Diagnostic Problem-Solving, Springer-Verlag, (1990).

    Google Scholar 

  7. A. de M. Rezende, Uma Extensão Temporal à Teoria das Coberturas Parcimoniosas. Master Thesis (in Portuguese) Institute de Computação, UNICAMP, Jul. (1996).

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Instituto de Computação, UNICAMP, Brazil

    Alexandre de Melo Rezende & Jacques Wainer

Authors
  1. Alexandre de Melo Rezende
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jacques Wainer
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Díbio L. Borges Celso A. A. Kaestner

Rights and permissions

Reprints and permissions

Copyright information

© 1996 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

de Melo Rezende, A., Wainer, J. (1996). A temporal extension to the Parsimonious Covering Theory. In: Borges, D.L., Kaestner, C.A.A. (eds) Advances in Artificial Intelligence. SBIA 1996. Lecture Notes in Computer Science, vol 1159. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61859-7_21

Download citation

  • DOI: https://doi.org/10.1007/3-540-61859-7_21

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61859-1

  • Online ISBN: 978-3-540-70742-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation