Interactive case-based planning for forest fire management

被引：36

作者：

Avesani, P ^{[1
]}

Perini, A ^{[1
]}

Ricci, F ^{[1
]}

机构：

[1] Ist Ric Sci & Tecnol, I-38050 Trent, Italy

来源：

APPLIED INTELLIGENCE | 2000年 / 13卷 / 01期

关键词：

case-based reasoning; planning; local similarity metric; learning; temporal reasoning; constraint satisfaction;

D O I：

10.1023/A:1008327312956

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：41 / 57

页数：17

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