ISCAS OpenIR
automated generation of readable proofs for constructive geometry statements with the mass point method
Zou Yu; Zhang Jingzhong
2011
会议名称8th International Workshop on Automated Deduction in Geometry, ADG 2010
会议录名称Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
页码221-258
会议日期July 22, 2010 - July 24, 2010
会议地点Munich, Germany
收录类别EI
ISSN0302-9743
ISBN9783642250699
部门归属(1) College of Computer Science and Educational Software Guangzhou University Guangzhou 510006 China; (2) Chengdu Institute for Computer Applications Chinese Academy of Sciences Chengdu 610041 China
摘要The existing readable machine proving methods deal with geometry problems using some geometric quantities. In this paper, we focus on the mass point method which directly deals with the geometric points rather than the geometric quantities. We propose two algorithms, Mass Point Method and Complex Mass Point Method, which can deal with the Hilbert intersection point statements in affine geometry and the linear constructive geometry statements in metric geometry respectively. The two algorithms are implemented in Maple as provers. The results of hundreds of non-trivial geometry statements run by our provers show that the mass point method is efficient and the machine proofs are human-readable. © 2011 Springer-Verlag.; The existing readable machine proving methods deal with geometry problems using some geometric quantities. In this paper, we focus on the mass point method which directly deals with the geometric points rather than the geometric quantities. We propose two algorithms, Mass Point Method and Complex Mass Point Method, which can deal with the Hilbert intersection point statements in affine geometry and the linear constructive geometry statements in metric geometry respectively. The two algorithms are implemented in Maple as provers. The results of hundreds of non-trivial geometry statements run by our provers show that the mass point method is efficient and the machine proofs are human-readable. © 2011 Springer-Verlag.
关键词Algorithms Automation
语种英语
内容类型会议论文
URI标识http://ir.iscas.ac.cn/handle/311060/16302
专题中国科学院软件研究所
推荐引用方式
GB/T 7714
Zou Yu,Zhang Jingzhong. automated generation of readable proofs for constructive geometry statements with the mass point method[C],2011:221-258.
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