Issue No. 03 - May/June (2006 vol. 21)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2006.38
Edwina L. Rissland , University of Massachusetts
For AI to become truly robust, we must further our understanding of similarity-driven reasoning, analogy, learning, and explanation. Here are some suggested research directions.This article is part of a special issue on the Future of AI.
similarity, explanation, examples, concepts, concept change, case-based reasoning, hypotheticals, open-texture, AI and law
E. L. Rissland, "AI and Similarity," in IEEE Intelligent Systems, vol. 21, no. , pp. 39-49, 2006.