Model-Based Diagnosis under Real-World Constraints
Adnan Y. Darwiche · 2000
I report in this paper on my experience over the past few years in introducing automated, modelbased diagnostic technologies into industrial settings. In particular, I discuss the competition that this technology has been receiving from hand-crafted, rule-based diagnostic systems which has set some very high standards that must be met by model-based systems before they could be viewed as viable alternatives. The battle between model-based and rule-based approaches to diagnosis has been over in the academic literature for many years now, but the situation is different in industry where rule-based systems are dominant and appear to be quite attractive given the considerations of efficiency, embeddability and cost-effectiveness. My goal in this paper is to provide a perspective on this competition and to discuss a diagnostic tool, called dtool/cnets, that I have been developing over the years as I tried to address the major challenges posed by rule-based systems. In particular, I...