Skip to main content
SpringerLink
Log in

Artificial intelligence for nature— Why knowledge representation and problem solving should play a key role in environmental decision support

  • Invited Papers
  • Conference paper
  • First Online:
KI-98: Advances in Artificial Intelligence (KI 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1504))

Included in the following conference series:

Abstract

Decision Support Systems for the environment have to incorporate and exploit knowledge about the phenomena and the interdependencies in the affected natural systems, i.e. a model. Using an ongoing project on mangrove forest management as an example, we discuss different tasks and requirements and propose to use methods and techniques developed in research on modeling and model-based systems in Artificial Intelligence for computer support to solving the problems.

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. Dressler, O., Struss, P.: The Consistency-based Approach to Automated Diagnosis of Devices. In: Brewka, G. (ed.), Principles of Knowledge Representation, CSLI Publications, Stanford, ISBN 1-57586-057-0, pp. 267–311.

    Google Scholar 

  2. Forbus, K.: Qualitative Process Theory, in: Artificial Intelligence 24(1–3).

    Google Scholar 

  3. Hamscher, W., Console, L., de Kleer, J. (eds.): Readings in Model-based Diagnosis, Morgan Kaufmann Publishers, San Mateo.

    Google Scholar 

  4. Heller, U., Struss, P.: Conceptual Modeling in the Environmental Domain. In: 15th IMACS World Congress on Scientific Computation, Modeling and Applied Mathematics, Berlin, August 1997, Vol. 6, pp. 147–152.

    Google Scholar 

  5. Heller, U., Struss, P.: Diagnosis and Therapy Recognition for Ecosystems— Usage of Model-based Diagnosis Techniques. In: 12th International Symposium “Computer Science for Environmental Protection” (UI-98), Bremen, 1998, Metropolis Verlag, Marburg.

    Google Scholar 

  6. Struss, P.: Model-based and qualitative reasoning: An introduction. In: Annals of Mathematics and Artificial Intelligence 19 (1997) III–IV, Baltzer Science Publishers.

    Google Scholar 

  7. Struss, P., Heller, U.: Process-oriented Modeling and Diagnosis—Revising and Extending the Theory of Diagnosis from First Principles. In: Working Notes of the 9th International Workshop on Principles of Diagnosis (DX-98), Cape Cod.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, Technical University of Munich, Orleansstr. 34, D-81667, Munich, Germany

    Peter Struss

  2. OCC’M SoftwareGmbH, Gleissentalstr. 22, D-82041, Deisenhofen, Germany

    Peter Struss

Authors
  1. Peter Struss
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Otthein Herzog Andreas Günter

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Struss, P. (1998). Artificial intelligence for nature— Why knowledge representation and problem solving should play a key role in environmental decision support. In: Herzog, O., Günter, A. (eds) KI-98: Advances in Artificial Intelligence. KI 1998. Lecture Notes in Computer Science, vol 1504. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0095425

Download citation

  • DOI: https://doi.org/10.1007/BFb0095425

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65080-5

  • Online ISBN: 978-3-540-49656-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation