Strategic Explanations for a Diagnostic Consultation System

By Diane Warner Hasling, William J. Clancey, G. Rennels. 1983

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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): “…and Henrion, 1990; Ford et al., 1992; Gautier and Gruber, 1993; Goguen et al., 1983; Greer, Falk, Greer, and Bentham, 1994; Gruber, 1991, 1991; Hasling, Clancey, and Rennels, 1984; Hayes-Roth, Waterman, and Lenat, 1984; Henrion and Druzdzel, 1990a, 1990b; Kass and Finin, 1988; Langlotz and…”
A systematic review and taxonomy of explanations in decision support and recommender systems (2017, unknown): “f our analysis, can be found online at: http://inf.ufrgs.br/prosoft/resources/2017/umuai-sr-explanations. A Systematic Review and Taxonomy of Explanations 9 Table 6 Selected Primary Studies. Approach [166,34,56,206,2,124,54,146,198,192,129,131,86,138,82,136,24,97,4,171,249,84,231,94,101, 143,252,149”
Explanatory Power of Intelligent Systems : A Research Framework (2004, unknown): “In NEOMYCIN, an offspring of MYCIN, Clancey and Letsinger (1981) (see also Clancey, 1983; and Hasling et al., 1984), consider providing explanations that capture the overall approach used by the system to solve a problem—that is, the underlying strategic knowledge.”
Explanation and Argumentation Capabilities:Towards the Creation of More Persuasive Agents (2002, background): “In neomycin (Clancey 1983b, Hasling et al. 1984), control between the different processing stages is represented by meta-rules.”