Discrimination-Based Constructive Induction of Logic Programs

Boonserm Kijsirikul, Masayuki Numao, Masamichi Shimura

This paper presents a new approach to constructive induction, Discrimination-Based Constructive induction(DBC), which invents useful predicates in learning relations. Triggered by failure of selective induction, DBC finds a minimal set of variables forming a new predicate that discriminates between positive and negative examples, and induces a definition of the invented predicate. If necessary, it also induces subpredicates for the definition. Experimental results show that DBC learns meaningful predicates without any interactive guidance.

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