Skip to main content

From Path-Consistency to Global Consistency in Temporal Qualitative Constraint Networks

  • Conference paper
Artificial Intelligence: Methodology, Systems, and Applications (AIMSA 2012)

Abstract

We study in this paper the problem of global consistency for qualitative constraints networks (QCNs) of the Point Algebra (PA) and the Interval Algebra (IA). In particular, we consider the subclass \(\mathcal{S}_{\sf PA}\) corresponding to the set of relations of PA except the relations { < , = } and { > , = }, and the subclass \(\mathcal{S}_{\sf IA}\) corresponding to pointizable relations of IA one can express by means of relations of \(\mathcal{S}_{\sf PA}\). We prove that path-consistency implies global consistency for QCNs defined on these subclasses. Moreover, we show that with the subclasses corresponding to convex relations, there are unique greatest subclasses of PA and IA containing singleton relations satisfying this property.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

  1. Allen, J.F.: An interval-based representation of temporal knowledge. In: Proceedings of the 7th International Joint Conference on Artificial Intelligence (IJCAI 1981), pp. 221–226 (1981)

    Google Scholar 

  2. Bessière, C., Isli, A., Ligozat, G.: Global consistency in interval algebra networks: Tractable subclasses. In: Proc. of the 12th European Conf. on Artificial Intelli. (ECAI 1996), pp. 3–7 (1996)

    Google Scholar 

  3. Freuder, E.C.: Synthesizing constraint expressions. Commun. ACM 21(11), 958–966 (1978)

    Article  MathSciNet  MATH  Google Scholar 

  4. Koubarakis, M.: From local to global consistency in temporal constraint networks. Theoritical Computer Science 173(1), 89–112 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  5. Krokhin, A.A., Jeavons, P., Jonsson, P.: Reasoning about temporal relations: The tractable subalgebras of allen’s interval algebra. Journal of ACM 50(5), 591–640 (2003)

    Article  MathSciNet  Google Scholar 

  6. Ligozat, G.: A New Proof of Tractability for ORD-Horn Relations. In: Proc. of the Thirteenth National Conference on Artificial Intelligence (AAAI 1996), vol. 1, pp. 395–401 (1996)

    Google Scholar 

  7. Ligozat, G., Renz, J.: What Is a Qualitative Calculus? A General Framework. In: Zhang, C., Guesgen, H.W., Yeap, W.-K. (eds.) PRICAI 2004. LNCS (LNAI), vol. 3157, pp. 53–64. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  8. Nebel, B., Bürckert, H.J.: Reasoning About Temporal Relations: A Maximal Tractable Subclass of Allen’s Interval Algebra. Journal of the ACM 42(1), 43–66 (1995)

    Article  MATH  Google Scholar 

  9. Nökel, K. (ed.): Temporally Distributed Symptoms in Technical Diagnosis. LNCS, vol. 517, pp. 1–184. Springer, Heidelberg (1991)

    Book  MATH  Google Scholar 

  10. van Beek, P.: Reasoning About Qualitative Temporal Information. Artificial Intelligence 58(1-3), 297–326 (1992)

    Article  MathSciNet  MATH  Google Scholar 

  11. Van Beek, P., Cohen, R.: Exact and approximate reasoning about temporal relations. Computational Intelligence 6, 133–144 (1990)

    Article  Google Scholar 

  12. Vilain, M., Kautz, H.: Constraint Propagation Algorithms for Temporal Reasoning. In: Proceedings of the Fifth National Conf. on Artificial Intelligence (AAAI 1986), pp. 377–382 (1986)

    Google Scholar 

  13. Vilain, M., Kautz, H., van Beek, P.: Constraint propagation algorithms for temporal reasoning: a revised report. In: Qualitative Reasoning about Physical Systems, pp. 372–381 (1990)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Amaneddine, N., Condotta, JF. (2012). From Path-Consistency to Global Consistency in Temporal Qualitative Constraint Networks. In: Ramsay, A., Agre, G. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2012. Lecture Notes in Computer Science(), vol 7557. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33185-5_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-33185-5_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33184-8

  • Online ISBN: 978-3-642-33185-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics