Abstract :
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
Keywords :
case-based reasoning; learning (artificial intelligence); AI learning; artificial intelligence; case-based reasoning; similarity-driven reasoning; Artificial intelligence; Character recognition; Cognition; Computational modeling; Humans; Knowledge representation; Machine learning; Problem-solving; Robustness; Solids; AI and law; case-based reasoning; concept change; concepts; examples; explanation; hypotheticals; open-texture; similarity;
