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.
Original language | English |
---|---|
Pages (from-to) | 545-550 |
Number of pages | 6 |
Journal | IJCAI International Joint Conference on Artificial Intelligence |
Publication status | Published - 2001 |
Event | 17th International Joint Conference on Artificial Intelligence, IJCAI 2001 - Seattle, WA, United States Duration: 4 Aug 2001 → 10 Aug 2001 |