Qualtitative propagation and scenario-based scheme for exploiting probabilistic reasoning

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Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, methodology): “One example of this is described in a series of papers by Druzdzel and Henrion (Druzdzel, 1990; Druzdzel and Henrion, 1990; Henrion and Druzdzel, 1990ab), Explanation systems were developed by the use of ‘scenarios.’”
Defining Explanation in Probabilistic Systems (1997, methodology): “Two other variants of the MAP approach have been pro posed, by Henrion and Druzdzel (1990) and Shimony (1991, 1993).”
Axiomatizing Causal Reasoning (1998, unknown): “…prediction, explanation, and counterfactual reasoning—has been argued eloquently in a number of recent papers and books (Chajewska & Halpern, 1997; Heckerman & Shachter, 1995; Henrion & Druzdzel, 1990; Druzdzel & Simon, 1993; Pearl, 1995; Pearl & Verma, 1991; Spirtes, Glymour, & Scheines, 1993).”
A review of explanation methods for Bayesian networks (2002, methodology): “Druzdzel (Druzdzel, 1993; Henrion & Druzdzel, 1990) proposed a method for translating the qualitative and quantitative information of a Bayesian network into linguistic expressions.”