In this extended abstract we shall illustrate a work in progress aimed at developing an AI system for planning first attacks to a forest fire. It is based on two major techniques: case-based reasoning and constraint reasoning. This planning component is embedded in an Intelligent Decision Support System aimed at supporting the user in the whole process of forest fires management. The novelty of the proposed approach is mainly due to the use of advanced techniques for lazy learning, the application of the case-based paradigm to the planning of the first fire attack and the integration of the case-based reasoner with a constraint solver, mainly in charge of temporal reasoning
Combining Human Assessment and Reasoning Aids for Decision-Making in Planning forest Fire Fighting
Avesani, Paolo;Ricci, Francesco;Perini, Anna
1995-01-01
Abstract
In this extended abstract we shall illustrate a work in progress aimed at developing an AI system for planning first attacks to a forest fire. It is based on two major techniques: case-based reasoning and constraint reasoning. This planning component is embedded in an Intelligent Decision Support System aimed at supporting the user in the whole process of forest fires management. The novelty of the proposed approach is mainly due to the use of advanced techniques for lazy learning, the application of the case-based paradigm to the planning of the first fire attack and the integration of the case-based reasoner with a constraint solver, mainly in charge of temporal reasoningI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
