Abstract : We present a new generic diagnostic engine to diagnose
systems that are modelled with first order logic. The originality of
this engine is that it takes benefit of recent advances in constraint
programming to perform satisfiability tests by the use of an off-the-
shelf CSP solver. The second contribution of this paper is the defi-
nition of an incremental search strategy that deals with the intrinsic
complexity of the problem to look for minimal diagnoses in complex
digital systems. The use of the DITO engine and its strategy is fully
illustrated on the c6288 circuit that is part of the classical ISCAS85
benchmark.
https://hal.laas.fr/hal-01929533
Contributor : Yannick Pencolé
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Submitted on : Wednesday, November 21, 2018 - 11:39:54 AM
Last modification on : Friday, January 10, 2020 - 9:10:11 PM
Yannick Pencolé. DITO: a CSP-based diagnostic engine. Twenty-first European Conference on Artificial Intelligence (ECAI'14), Aug 2014, Prague, Czech Republic. ⟨hal-01929533⟩
