Explaining and Justifying Expert Consulting Programs
By William R. Swartout. 1981
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Shane T. Mueller
- Robert R. Hoffman
- Gary Klein
- Abigail Emrey
- Jun Zhu
- Dongyan Zhao
- Hans Uszkoreit
- Wei Fan
Citations in the corpus
- Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, methodology): “…Scott, Clancey, Davis, and Shortliffe, 1977; Scott, Clancey, Davis, and Shortliffe, 1984; Shortliffe, 1976; Silverman, 1992; Southwick, 1988, 1988, Swartout, 1977, 1981, 1983, 1985; Swartout and Moore, 1993; Swartout, Paris, and Moore, 1991; Wallis and Shortliffe, 1981, 1984; Weiner, 1980; Wick…”
- Explaining reasoning: an overview of explanation in knowledge-based systems (1991, methodology): “The XPLAIN system (Swartout, 1981) was designed to capture the deep support knowledge necessary to explain and justify a system's behaviour.”
- Explainable AI: A Brief Survey on History, Research Areas, Approaches and Challenges (2019, background): “The earliest work on Explainable AI could be found in the literature published forty years ago [16] [19], where some expert systems explained their results via the applied rules.”