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Forest fire management with Negoplan

  • Communications Session 6A Intelligent Information Systems
  • Conference paper
  • First Online:
Foundations of Intelligent Systems (ISMIS 1996)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1079))

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Abstract

The control of forest fires is a complex domain that requires a variety of knowledge and skills in decision making and planning under uncertainty. It poses a challenging problem for the design of simulation and support systems, and therefore acts as a good testbed for the application of intelligent system methodologies. One such a methodology is restructurable modelling. It is the theoretical foundation of Negoplan, a software tool based on artificial intelligence technology, which can be used to build simulation, support and training systems for sequential decision making. Comprehensive support for fire management should reflect the different levels of an organizational hierarchy, from efficient resource allocation to policy setting and tradeoffs between goals. We show how the higher levels of fire management can be formulated as a sequential decision making problem and modelled in Negoplan.

The paper has considerably benefited from discussions with Gregory Kersten, whose help is gratefully acknowledged. This work has been supported by the Natural Sciences and Engineering Research Council of Canada.

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References

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Author information

Authors and Affiliations

  1. School of Business, Carleton University, K1S 5B6, Ottawa, Ontario, Canada

    Sunil J. Noronha

  2. Department of Computer Science, University of Ottawa, K1N 6N5, Ottawa, Ontario, Canada

    Stan Szpakowicz

Authors
  1. Sunil J. Noronha
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  2. Stan Szpakowicz
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Editor information

Zbigniew W. Raś Maciek Michalewicz

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© 1996 Springer-Verlag Berlin Heidelberg

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Noronha, S.J., Szpakowicz, S. (1996). Forest fire management with Negoplan. In: Raś, Z.W., Michalewicz, M. (eds) Foundations of Intelligent Systems. ISMIS 1996. Lecture Notes in Computer Science, vol 1079. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61286-6_172

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  • DOI: https://doi.org/10.1007/3-540-61286-6_172

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61286-5

  • Online ISBN: 978-3-540-68440-4

  • eBook Packages: Springer Book Archive

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