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Interactive case-based planning for forest fire management
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DOI：10.1023/A:1008327312956.png)
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摘要
En 中文
This paper describes an AI system for planning the first attack on a forest fire. This planning system is based on two major techniques, case-based reasoning, and constraint reasoning, and is part of a decision support system called CHARADE. CHARADE is aimed at supporting the user in the whole process of forest fire management. The novelty of the proposed approach is mainly due to the use of a local similarity metric for case-based reasoning and the integration with a constraint solver in charge of temporal reasoning.
Keyword:
case-based reasoning
planning
local similarity metric
learning
temporal reasoning
constraint satisfaction
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