# Strategies for Generating Micro Explanations for Bayesian Belief Networks

arXiv: https://arxiv.org/abs/1304.1524 · HTML: https://mlsanity.com/paper/1304.1524/

## Key facts

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

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

- [Comparing verbal, visual and combined explanations for Bayesian Network inferences](https://mlsanity.com/paper/2511.16961/) (2025)

## Abstract (arXiv)

Bayesian Belief Networks have been largely overlooked by Expert Systems practitioners on the grounds that they do not correspond to the human inference mechanism. In this paper, we introduce an explanation mechanism designed to generate intuitive yet probabilistically sound explanations of inferences drawn by a Bayesian Belief Network. In particular, our mechanism accounts for the results obtained due to changes in the causal and the evidential support of a node.