Normality and Faults in Logic-Based Diagnosis

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Explanation in Artificial Intelligence: Insights from the Social Sciences (2017, background): “Using abductive reasoning to generate explanations has a long history in artificial intelligence [97], aiming to solve problems such as fault diagnosis [143], plan/intention recognition [24], and generalisation in learning [133].”
Abduction, experience, and goals: a model of everyday abductive explanation (1995, background): “…than re ecting the changing needs for information that motivate explanation (Charniak & Goldman, 1991; Charniak & Shomony, 1994; Hobbs, Stickel, Appelt, & Martin, 1993; Josephson & Josephson, 1994; Kautz & Allen, 1986; Konolige, 1990; Levesque, 1989; O'Rorke, 1994; Poole, 1989; Zadrozny, 1994).”