Resource Catalog
Document
Type: Conference Proceedings
Coordinator(s): James B. Davis; Robert E. Martin
Publication Date: 1987
Predicting the effects of fires in the year 2000 and beyond will be enhanced by the use of expert systems. Although our predictions may have broad confidence limits, expert systems should help us to improve the predictions and to focus on the areas where improved knowledge is most needed. The knowledge of experts can be incorporated into previously existing knowledge bases, and the process of extracting knowledge from experts will help the expert to make more astute observations and to examine the judgments made. Expert systems also have potential in educational and training processes. By building a small expert system, the student will be aided in synthesizing facts into principles.
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Citation: Martin, Robert E. 1987. Fire effects, education, and expert systems. Pages 140-144. In: Davis, James B.; Martin, Robert E. (technical coordinators). Proceedings of the Symposium on Wildland Fire 2000, April 27-30, 1987, South Lake Tahoe, California. General Technical Report PSW-GTR-101. Berkeley, CA: USDA Forest Service, Pacific Southwest Forest and Range Experiment Station.
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Topics:
Keywords:
- AI - artificial intelligence
- computer models
Record Last Modified:
Record Maintained By: FRAMES Staff (https://www.frames.gov/contact)
FRAMES Record Number: 13089