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Characterization of a Class of Functions Synthesized from Examples by a SUMMERS Like Method Using a "B.M.W." Matching Technique

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Proceedings of the Sixth International Joint Conference on Artificial Intelligence. .

Abstract

This paper describes first a program synthesis from examples method using a SUMMERS like methodology together with a sophisticated pattern matching technique, the BOYER- IIOORE-I.JEGBREIT algorithm. We then characterize the class of functions synthesized from a restricted BMW algorithm. Our methodology is founded on three grounds.The first one is a precise characterization of the list dom3ins fitting the synthesis from examples problem. The second one is . SUMMERS' technique of input-output examples transformation into computational traces. The third one is the description by a restricted program scheme of the functions in the cl n ss. It seems to us that the proofs methods easily extend to the generalcl a ss.

Jean-Pierre Jouannaud, and Yves Kodratoff. 1979. Characterization of a Class of Functions Synthesized from Examples by a SUMMERS Like Method Using a "B.M.W." Matching Technique. In Proceedings of the Sixth International Joint Conference on Artificial Intelligence, IJCAI-79. IJCAI, https://ijcai.org/proceedings/1979/96
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