Abstract
The automatic generation of decision trees based on off-line reasoning on models of a domain is a reasonable compromise between the advantages of using a model-based approach in technical domains and the constraints imposed by embedded applications. In this paper we extend the approach to deal with temporal information. We introduce a notion of temporal decision tree, which is designed to make use of relevant information as long as it is acquired, and we present an algorithm for compiling such trees from a model-based reasoning system. © 2003 AI Access Foundation and Morgan Kaufmann Publishers. All rights reserved.
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CITATION STYLE
Console, L., Picardi, C., & Dupré, D. T. (2003). Temporal decision trees: Model-based diagnosis of dynamic systems on-board. Journal of Artificial Intelligence Research, 19, 469–512. https://doi.org/10.1613/jair.1194
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