Deriving Explanations and Implications for Constraint Satisfaction Problems

By Eugene C. Freuder, C. Likitvivatanavong, R. Wallace. 2001

24 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications

How researchers see this paper

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

In Artificial Intelligence

1. Or Biran
2. Courtenay V. Cotton
3. J. Linden

In Computer Networks and Communications

1. Or Biran
2. Courtenay V. Cotton
3. J. Linden

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, neutral): “…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 Wallace, 2001; Haddawy, et al., 1997; Henrion and Druzdzel, 1990a, 1990b; Herlocker, Konstan, and Riedl, 2000; Khan,…”
• Meta-Constraints: to aid interaction and to provide explanations (2002, methodology): “Usually, such explanations show the process of arriving at the solution [2], [3].”
• Explanation and Justification in Machine Learning : A Survey Or (2017, methodology): “In [ Freuder et al. , 2001 ] and [ Wallace and Freuder, 2001 ] the authors explored a method of presenting explanations for any assignment decision made by their program.”