Focusing Construction and Selection of Abductive Hypotheses

By David B. Leake. 1993

How researchers see this paper

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

1. Leilani H. Gilpin
2. Ben Z. Yuan
3. Ayesha Bajwa
4. Michael A. Specter
5. David Bau
6. Lalana Kagal
7. David B. Leake
8. Mark T. Keane

Citations in the corpus

• Explaining Explanations: An Overview of Interpretability of Machine Learning (2018, neutral): “Similar approaches are found in abductive reasoning; using a case-based model [83] or explanatory coherence [84].”
• Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning (2018, result): “Similar approaches are found in abductive reasoning either using a case-based explanation model [83] or explanatory coherence [84].”
• Abduction, experience, and goals: a model of everyday abductive explanation (1995, background): “This discussion illuminates 1The paper Leake (1993) contains an initial sketch of a number of these points of comparision. the commitments of case-based explanation and its bene ts as a way to facilitate explanation in the complex and imperfectly understood domains of everyday explanation.”