Abstract
The automatic generation of diagnostic decision trees from qualitative models is a reasonable compromise between the advantages of using a model-based approach in technical domains and the constraints imposed by on-board applications. In this paper we extend the approach to deal with temporal information. We introduce a notion of temporal diagnostic decision tree, in which nodes have a temporal label providing temporal constraints on the observations, and we present an algorithm for compiling such trees from a model-based diagnostic system.
Lingua originale | Inglese |
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pagine (da-a) | 545-550 |
Numero di pagine | 6 |
Rivista | IJCAI International Joint Conference on Artificial Intelligence |
Stato di pubblicazione | Pubblicato - 2001 |
Evento | 17th International Joint Conference on Artificial Intelligence, IJCAI 2001 - Seattle, WA, United States Durata: 4 ago 2001 → 10 ago 2001 |