Qualitative Verbal Explanations in Bayesian Belief Networks
Bayesian belief networks,
qualitative probabilistic networks
- Marek J. Druzdzel
University of Pittsburgh
Department of Information Science
and Intelligent Systems Program
Application of Bayesian belief networks in systems that interact
directly with human users, such as decision support systems,
requires effective user interfaces.
The principal task of such interfaces is bridging the gap between
probabilistic models and human intuitive approaches to modeling
We describe several methods for automatic generation of qualitative
verbal explanations in systems based on Bayesian belief networks.
We show simple techniques for explaining the structure of a belief
network model and the interactions among its variables.
We also present a technique for generating qualitative
explanations of reasoning.
The full paper is available in
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Last update: 4 May 2005