文章基本信息

标题：Planning Based on Classification by Induction Graph
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作者：Sofia Benbelkacem ; Baghdad Atmani ; Mohamed Benamina 等
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2013
卷号：3
期号：8
页码：285-294
DOI：10.5121/csit.2013.3823
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In Artificial Intelligence, planning refers to an area of research that proposes to develop systems that can automatically generate a result set, in the form of an integrated decision-making system through a formal procedure, known as plan. Instead of resorting to the scheduling algorithms to generate plans, it is proposed to operate the automatic learning by decision tree to optimize time. In this paper, we propose to build a classification model by induction graph from a learning sample containing plans that have an associated set of descriptors whose values change depending on each plan. This model will then operate for classifying new cases by assigning the appropriate plan
关键词：Bloksworld; Classification; Data Mining; Decision Tree; Planning; Induction Graph; Symbolic ;Induction