Automatic diagnosis of a printer - systems by means of bayesian decision networks

摘要

An automated troubleshooter uses Bayesian networks to troubleshoot a system. Knowledge acquisition is performed in preparation to troubleshoot the system. An issue to troubleshoot is identified. Causes of the issue are identified. Subcauses of the causes are identified. Troubleshooting steps are identified. Troubleshooting steps are matched to causes and subcauses. Probabilities for the causes and the subcauses identified are estimated. Probabilities for actions and questions set are estimated. Costs for actions and questions are estimated.