Introduction to the Special Issue on Explanation in Case-Based Reasoning
By David B. Leake, David McSherry. 2005
50 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications
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In Artificial Intelligence
In Computer Networks and Communications
Citations in the corpus
- The Twin-System Approach as One Generic Solution for XAI: An Overview of ANN-CBR Twins for Explaining Deep Learning (2019, methodology): “CBR systems are known for their intuitive reasoning method (i.e., similarity between cases) and their use of explanation by example/case/precedent [Aamodt and Plaza, 1994; Mantaras et al., 2006; Leake and McSherry, 2005].”
- Retrieval, reuse, revision and retention in case-based reasoning (2005, unknown): “1984; Ashley & Aleven, 1992; Leake, 1996b; McSherry, 2001b; Cunningham et al ., 2003; Doyle et al ., 2004; McSherry, 2004b; Leake & McSherry, 2005).”
- How Case-Based Reasoning Explains Neural Networks: A Theoretical Analysis of XAI Using Post-Hoc Explanation-by-Example from a Survey of ANN-CBR Twin-Systems (2019, background): “CBR systems are notable in this respect, through their use of examples/cases/precedents to explain system outputs [7, 10, 11, 12, 18, 19].”