The Diagnostic Competitions

Feldman, Alexander (General Diagnostics) | Kleer, Johan de (Palo Alto Research Center (PARC)) | Kurtoglu, Tolga (Palo Alto Research Center (PARC)) | Narasimhan, Sriram (University of California, Santa Cruz) | Poll, Scott (NASA Ames Research Center) | Garcia, David (Palo Alto Research Center (PARC)) | Kuhn, Lukas (Zenhavior) | Gemund, Arjan J. C. van (Delft University of Technology)

AI Magazine 

Therefore, diagnostic algorithms must reason backwards from symptoms to causes. For example, determining that a dead battery is the cause of your car not starting in the morning (and not the wiring or the ignition switch). The domains of diagnostic algorithms includes analog and digital circuits, software systems, thermal systems, biological systems, and physical mechanisms. The same classes of diagnostic algorithms can apply in all domains. Diagnostic algorithms make observations, often in real time, of a system being diagnosed.

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