Focusing on the Most Important Explanations: Decision-Theoretic Horn Abduction
Abstract
This paper describes a new method, called Decision-Theoretic Horn Abduction (DTHA), for generating and focusing on the most important explanations. A procedure is given that can be used iteratively to generate a sequence of explanations from the most to the least important. The new method considers both the likelihood and utility of partial explanations and is applicable to a wide range of tasks. This paper shows how it applies to an important engineering design task, namely Failure Modes and Effects Analysis (FMEA). A concrete example illustrates the advantages of the general approach in the context of FMEA.
Cite
Text
O'Rorke. "Focusing on the Most Important Explanations: Decision-Theoretic Horn Abduction." AAAI Conference on Artificial Intelligence, 1994.Markdown
[O'Rorke. "Focusing on the Most Important Explanations: Decision-Theoretic Horn Abduction." AAAI Conference on Artificial Intelligence, 1994.](https://mlanthology.org/aaai/1994/oaposrorke1994aaai-focusing/)BibTeX
@inproceedings{oaposrorke1994aaai-focusing,
title = {{Focusing on the Most Important Explanations: Decision-Theoretic Horn Abduction}},
author = {O'Rorke, Paul},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1994},
pages = {275-280},
url = {https://mlanthology.org/aaai/1994/oaposrorke1994aaai-focusing/}
}