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    Author(s): Elizabeth Reinhardt
    Date: 1987
    Source: In: Davis, James B.; Martin, Robert E., technical coordinators. 1987. Proceedings of the Symposium on Wildland Fire 2000, April 27-30, 1987, South Lake Tahoe, California. Gen. Tech. Rep. PSW-GTR-101. Berkeley, CA: Pacific Southwest Forest and Range Experiment Station, Forest Service, U.S. Department of Agriculture; p. 223-225
    Publication Series: General Technical Report (GTR)
    Station: Pacific Southwest Research Station
    PDF: View PDF  (133 KB)

    Description

    Managers use prescribed fire to accomplish a variety of resource objectives. The knowledge needed to design successful prescriptions is both quantitative and qualitative. Some of it is available through publications and computer programs, but much of the knowledge of expert practitioners has never been collected or published. An expert system being developed at the, Forest Service's Intermountain Fire Sciences Laboratory in Missoula, Montana, uses artificial intelligence programming techniques to integrate this diverse information, and interpret it for application, and to recognize skilled practitioners as an important source of knowledge. These artificial intelligence techniques include rule-based inference and frame-based inheritance.

    Publication Notes

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    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Reinhardt, Elizabeth. 1987. An Expert System for Designing Fire Prescriptions. In: Davis, James B.; Martin, Robert E., technical coordinators. 1987. Proceedings of the Symposium on Wildland Fire 2000, April 27-30, 1987, South Lake Tahoe, California. Gen. Tech. Rep. PSW-GTR-101. Berkeley, CA: Pacific Southwest Forest and Range Experiment Station, Forest Service, U.S. Department of Agriculture; p. 223-225

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