人工知能学会第二種研究会資料
Online ISSN : 2436-5556
帰納論理プログラミングによる個人感性獲得とその評価
西川 敬之杉本 知仁福井 健一森山 甲一栗原 聡沼尾 正行
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研究報告書・技術報告書 フリー

2007 年 2007 巻 DMSM-A701 号 p. 09-

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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.

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