# A Probabilistic Approach to Hierarchical Model-based Diagnosis

arXiv: https://arxiv.org/abs/1302.6846 · HTML: https://mlsanity.com/paper/1302.6846/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Feb 2013.

## Built on by (most cited first, 1 of 1)

- [Causal knowledge engineering: A case study from COVID-19](https://mlsanity.com/paper/2403.14100/) (2024)

## Abstract (arXiv)

Model-based diagnosis reasons backwards from a functional schematic of a system to isolate faults given observations of anomalous behavior. We develop a fully probabilistic approach to model based diagnosis and extend it to support hierarchical models. Our scheme translates the functional schematic into a Bayesian network and diagnostic inference takes place in the Bayesian network. A Bayesian network diagnostic inference algorithm is modified to take advantage of the hierarchy to give computational gains.