This paper outlines an implemented system named PROVERB that transforms and abstracts machine-found proofs to natural deduction style proofs at an adequate level of abstraction and then verbalizes them in natural language. The abstracted proofs, originally employed only as an intermediate representation, also prove to be useful for proof planning and proving by analogy.
CITATION STYLE
Huang, X., & Fiedler, A. (1996). Presenting machine-found proofs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1104, pp. 221–225). Springer Verlag. https://doi.org/10.1007/3-540-61511-3_83
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