BANTER: a Bayesian network tutoring shell

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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, neutral): “…Doignon and Falmagne, 1985; Fonseca and Chi, 2011; Forbus and Feltovich, 2001; Frederiksen, White, Collins, Allan, and Eggan, 1988; Guerlain, 1995; Haddawy, Jacobson, and Kahn, 1997; Katz and Lesgold, 1992; Kehoe, Stasko, and Taylor, 2001; Lajoie, 2009; Lane et al., 2005; Lesgold et al., 1988;…”
Explanation and Justification in Machine Learning : A Survey Or (2017, background): “…each node and providing no explanation for what the nodes themselves symbol-ize, assuming that their names are enough (individual nodes are often symptoms, in the medical domain, or physical evidence, e.g. “valve open”, in other domains) [Druzdzel, 1996; Haddawy et al. , 1997; Yap et al. , 2008].”
Bayesian Artificial Intelligence (2004, methodology): “For example, BANTER [97] is a BN tutoring shell, based on INSITE’s methods, for tutoring users (such as medical students) in the evaluation of hypotheses and selection of optimal diagnostic procedures.”
A review of explanation methods for Bayesian networks (2002, methodology): “BANTER Based on Suermondt’s INSITE method, Haddawy, Jacobson and Kahn (Haddawy et al. , 1994a; Haddawy et al ., 1994b; Haddawy et al ., 1997) have developed BANTER, a tool for decision-support and training.”