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Issue No. 03 - May/June (2006 vol. 21)
ISSN: 1541-1672
pp: 39-49
Edwina L. Rissland , University of Massachusetts
ABSTRACT
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.
INDEX TERMS
similarity, explanation, examples, concepts, concept change, case-based reasoning, hypotheticals, open-texture, AI and law
CITATION

E. L. Rissland, "AI and Similarity," in IEEE Intelligent Systems, vol. 21, no. , pp. 39-49, 2006.
doi:10.1109/MIS.2006.38
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