1991 年 6 巻 2 号 p. 276-279
We argue that explanation-based generalization as recently proposed in the machine learning literature is NOT essentially equivalent to partial computation, a well-known technique in the functional and logic programming literature. A training example plays an essential role in explanation-based generalization.