A study on acquiring sensibility information by inductive logic programming

Abstract

Inductive logic programming(ILP) is a learning approach that incorporates first order logic to knowledge representation to the inductive learning. As a result of inductive inference, it can generate expressive rules including variables and relations, and it is useful as one of the technique of the data mining. In this paper, we apply ILP to the learning problem to obtain models of music structure that evokes subjects' specific feelings from their evaluations of existing tunes and the music structures of them.