Skip to main content

Development of an ecological decision support system

  • 4 Applied Artificial Intelligence and Knowledge-Based Systems in Specific Domains
  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1416))

Abstract

In this paper a knowledge-based decision support system is described that determines the abiotic (chemical and physical) characteristics of a site on the basis of in-homogeneous samples of plant species. Techniques from the area of non-monotonic reasoning are applied to model multi-interpretable input information.

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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Besnard, P., An Introduction to Default Logic, Springer-Verlag, 1989.

    Google Scholar 

  2. Brazier, F.M.T., B. Dunin-Keplicz, N.R. Jennings, and J. Treur, Formal Specification of Multi-Agent Systems: a real-world case. In: V. Lesser (ed.), Proc. of the First International Conference on Multi-Agent Systems, ICMAS'95, MIT Press, Cambridge, MA, pp. 25–32. Extended version in: International Journal of Cooperative Information Systems, M. Huhns, M. Singh, (eds.), special issue on Formal Methods in Cooperative Information Systems: Multi-Agent Systems, vol. 6, 1997, pp. 67–94.

    Google Scholar 

  3. Brazier, F.M.T., J. Engelfriet, J. Treur, Analysis of multi-interpretable ecological monitoring information. In: A. Hunter, S. Parsons (eds.), Applications of Uncertainty Formalisms, Springer Verlag, 1998, to appear

    Google Scholar 

  4. Brazier, F.M.T., J. Treur, and N.J.E. Wijngaards, The Acquisition of a Shared Task Model. In: N. Shadbolt, K. O'Hara, G. Schreiber (eds.), Advances in Knowledge Acquisition, Proc. 9th European Knowledge Acquisition Workshop, EKAW'96, Lecture Notes in Artificial Intelligence, vol. 1076, Springer Verlag, pp. 278–289.

    Google Scholar 

  5. Brazier, F.M.T., J. Treur, and N.J.E. Wijngaards, Modelling Interaction with Experts: the Role of a Shared Task Model. In: W. Wahlster (ed.), Proc. European Conference on AI, ECAI'96, John Wiley and Sons, 1996, pp. 241–245.

    Google Scholar 

  6. Brewka, G., Adding Priorities and Specificity to Default Logic. In: C. MacNish, D. Pearce, L.M. Pereira (eds.), Logics in Artificial Intelligence, Proc. of the Third European Workshop on Logics in AI, JELIA-94, Lecture Notes in Artificial Intelligence, vol. 838, Springer-Verlag, 1994, pp. 247–260.

    Google Scholar 

  7. Brewka, G., Reasoning about Priorities in Default Logic. In: Proceedings of the AAAI-94, 1994.

    Google Scholar 

  8. Engelfriet, J., H. Herre and J. Treur, Nonmonotonic Reasoning with Multiple Belief Sets. In: D.M. Gabbay, H.J. Ohlbach (eds.), Practical Reasoning, Proc. of FAPR'96, Lecture Notes in Artificial Intelligence, vol. 1085, Springer-Verlag, 1996, pp. 331–344.

    Google Scholar 

  9. Engelfriet, J., V.W. Marek, J. Treur and M. Truszczynski, Infinitary Default Logic for Specification of Nonmonotonic Reasoning. In: J.J. Alferes, L.M. Pereira, E. Orlowska (eds.), Logics in Artificial Intelligence, Proc. of the Fourth European Workshop on Logics in At, JELIA'96, Lecture Notes in Artificial Intelligence, vol. 1126, Springer-Verlag, 1996, pp. 224–236.

    Google Scholar 

  10. Makinson, D., General Patterns in Nonmonotonic Reasoning. In: D.M. Gabbay, C.J. Hogger, J.A. Robinson (eds.), Handbook of Logic in Artificial Intelligence and Logic Programming, Vol. 3, Oxford Science Publications, 1994, pp. 35–110.

    Google Scholar 

  11. Marek, V.W. and M. Truszczynski, Nonmonotonic logics; context-dependent reasoning, Springer-Verlag, 1993.

    Google Scholar 

  12. Marek, V.W., J. Treur and M. Truszczynski, Representation Theory for Default Logic, to appear in Annals of Mathematics and Artificial Intelligence, 1998.

    Google Scholar 

  13. Reiter, R., A Logic for Default Reasoning, Artificial Intelligence 13, 1980, pp. 81–132.

    Google Scholar 

  14. Tan, Y.-H., J. Treur, Constructive Default Logic and the Control of Defeasible Reasoning. In: B. Neumann (ed.), Proc. of the European Conference on Artificial Intelligence, ECAI'92, John Wiley and Sons, 1992, pp. 299–303.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Angel Pasqual del Pobil José Mira Moonis Ali

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

van Beusekom, F., Brazier, F., Schipper, P., Treur, J. (1998). Development of an ecological decision support system. In: Pasqual del Pobil, A., Mira, J., Ali, M. (eds) Tasks and Methods in Applied Artificial Intelligence. IEA/AIE 1998. Lecture Notes in Computer Science, vol 1416. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64574-8_468

Download citation

  • DOI: https://doi.org/10.1007/3-540-64574-8_468

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64574-0

  • Online ISBN: 978-3-540-69350-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics