A knowledge-based approach to network and module diagnosis

With the ever increasing complexity of high energy physics experiments and the increasing number of component parameters in detectors and their associated data-acquisition systems, it is important to transfer human expertise into computer programs such that they exhibit human reasoning, but react more quickly and more consistently to rapidly changing stimuli. This paper describes how knowledge-based systems are being used at Fermilab to diagnose networks and modules. (orig.)