The Diagnostic Competitions

نویسندگان

  • Alexander Feldman
  • Johan de Kleer
  • Tolga Kurtoglu
  • Sriram Narasimhan
  • Scott Poll
  • David Garcia
  • Lukas D. Kuhn
  • Arjan J. C. van Gemund
چکیده

in it no longer achieving the functionality for which it was originally intended. Diagnostic algorithms (DAs) (1) detect malfunctioning systems, (2) isolate the faulty component or components that cause the malfunction, and possibly (3) repair the system to restore its functionality. The fundamental challenge of diagnosis is that the system is only partially observable. 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. It is impractical to evaluate diagnostic algorithms against physical devices, so an important component of all our benchmarks is a fault simulator that can interact with the diagnostic as if it were the real world. Competition Reports

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عنوان ژورنال:
  • AI Magazine

دوره 35  شماره 

صفحات  -

تاریخ انتشار 2014