Publications: 1986

1. A Domain Independent Explanation-Based Generalizer
   [Details] [PDF]
   Raymond J. Mooney and S.W. Bennett
   In Proceedings of the Fifth National Conference on Artificial Intelligence (AAAI-86), 551-555, Philadelphia, PA, August 1986.

   A domain independent technique for generalizing a broad class of explanations is described. This method is compared and contrasted with other approaches to generalizing explanations, including an abstract version of the algorithm used in the STRIPS system and the EBG technique developed by Mitchell, Keller, and Kedar-Cabelli. We have tested this generalization technique on a number of examples in different domains, and present detailed descriptions of several of these.

   ML ID: 206

2. Explanation-Based Learning: An Alternative View
   [Details] [PDF]
   G.F. DeJong and Raymond J. Mooney
   Machine Learning:145-176, 1986.

   In the last issue of this journal Mitchell, Keller, and Kedar-Cabelli presented a unifying framework for the explanation-based approach to machine learning. While it works well for a number of systems, the framework does not adequately capture certain aspects of the systems under development by the explanation-based learning group at Illinois. The primary inadequacies arise in the treatment of concept operationality, organization of knowledge into schemata, and learning from observation. This paper outlines six specific problems with the previously proposed framework and presents an alternative generalization method to perform explanation-based learning of new concepts.