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AI and Similarity

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1 Author(s)
Rissland, E.L. ; Massachusetts Univ., MA

As AI moves into the second half of its first century, we certainly have much to cheer about. For AI to become truly robust, we must further our understanding of similarity-driven reasoning, analogy, learning, and explanation. In this article, the author presents some suggested research directions

Published in:

Intelligent Systems, IEEE  (Volume:21 ,  Issue: 3 )