Temporal Decision Trees: Model-Based Diagnosis of Dynamic Systems On-Board
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.
Cite
Text
Console et al. "Temporal Decision Trees: Model-Based Diagnosis of Dynamic Systems On-Board." Journal of Artificial Intelligence Research, 2003. doi:10.1613/JAIR.1194Markdown
[Console et al. "Temporal Decision Trees: Model-Based Diagnosis of Dynamic Systems On-Board." Journal of Artificial Intelligence Research, 2003.](https://mlanthology.org/jair/2003/console2003jair-temporal/) doi:10.1613/JAIR.1194BibTeX
@article{console2003jair-temporal,
title = {{Temporal Decision Trees: Model-Based Diagnosis of Dynamic Systems On-Board}},
author = {Console, Luca and Picardi, Claudia and Dupré, Daniele Theseider},
journal = {Journal of Artificial Intelligence Research},
year = {2003},
pages = {469-512},
doi = {10.1613/JAIR.1194},
volume = {19},
url = {https://mlanthology.org/jair/2003/console2003jair-temporal/}
}