Explanation in Probabilistic Systems: Is It Feasible? Will It Work?

By Marek J Druzdzel. 2001

23 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Dónal Doyle
2. Padraig Cunningham
3. Alexey Tsymbal
4. Abigail Emrey
5. Conor Nugent
6. Mark T. Keane
7. Nava Tintarev
8. Ioannis Manousos Katakis

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, background): “(Chajewska and Halpern, 1997; Chan and Darwiche, 2012; Chang, Gerrish, Wang, Boyd-Graber, and Blei, 2009; Doyle et al., 2003; Druzdzel, 1990, 1996a, 1996b; Druzdzel and Henrion, 1990; Eaves Jr and Shafto, 2016; Fox, Glasspool, Grecu, Modgil, South, and Patkar, 2007; Freuder, Likitvivatanavong, and…”
• A Review of Explanation and Explanation in Case-Based Reasoning (2003, methodology): “After all, a physician using a diagnostic system is not supposed to follow an oracle's advice blindly, even if the system has shown reliable performance over time (Druzdzel, 1996).”