A Knowledge Acquisition Tool for Bayesian-Network Troubleshooters

TL;DR

This paper introduces a user-friendly knowledge acquisition tool for Bayesian network troubleshooters that simplifies the process for domain experts, removing traditional bottlenecks and allowing natural specification of troubleshooting information and probabilities.

Contribution

It presents a novel tool that enables domain experts to efficiently acquire Bayesian network knowledge without prior Bayesian expertise.

Findings

Reduces knowledge acquisition time for Bayesian networks

Allows natural language specification of troubleshooting info

Eliminates need for Bayesian knowledge expertise

Abstract

This paper describes a domain-specific knowledge acquisition tool for intelligent automated troubleshooters based on Bayesian networks. No Bayesian network knowledge is required to use the tool, and troubleshooting information can be specified as natural and intuitive as possible. Probabilities can be specified in the direction that is most natural to the domain expert. Thus, the knowledge acquisition efficiently removes the traditional knowledge acquisition bottleneck of Bayesian networks.