---
title: "Hierarchical Diagnosis Guided by Observations"
authors:
  - "Luca Chittaro"
  - "Roberto Ranon"
doi: ""
url: "https://ijcai.org/proceedings/2001/80"
pdf: "https://ijcai.org/proceedings/2001/0080.pdf"
venue: "Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence"
year: 2001
pages: "573-577"
track: ""
keywords:
---

# Hierarchical Diagnosis Guided by Observations

Luca Chittaro, Roberto Ranon

*Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence*, pages 573-577.

## Abstract

We propose a technique to improve the performance of hierarchical model-based diagnosis, based on structural abstraction. Given a hierarchical representation and the set of currently available observations, the technique is able to dynamically derive a tailored hierarchical representation to diagnose the current situation. We implement our strategy as an extension to the well-known Mozetic’s approach [Mozetic, 1992], and illustrate the obtained performance improvements. Our approach is more efficient than Mozetic’s one when, due to abstraction, fewer observations are available at the coarsest hierarchical levels.