[1]葛标标,杨春燕,汤龙.几何效应的可拓知识表示研究[J].智能系统学报,2022,17(6):1235-1243.[doi:10.11992/tis.202112016]
GE Biaobiao,YANG Chunyan,TANG Long.Extension knowledge representation of geometric effects[J].CAAI Transactions on Intelligent Systems,2022,17(6):1235-1243.[doi:10.11992/tis.202112016]
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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
17
期数:
2022年第6期
页码:
1235-1243
栏目:
吴文俊人工智能科学技术奖论坛
出版日期:
2022-11-05
- Title:
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Extension knowledge representation of geometric effects
- 作者:
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葛标标1,2, 杨春燕1,2, 汤龙3
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1. 广东工业大学 可拓学与创新方法研究所,广东 广州 510006;
2. 广东工业大学 机电工程学院,广东 广州 510006;
3. 南京信息工程大学 人工智能学院,江苏 南京 210044
- Author(s):
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GE Biaobiao1,2, YANG Chunyan1,2, TANG Long3
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1. Institute of Extenics and Innovation Methods, Guangdong University of Technology, Guangzhou 510006, China;
2. School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou 510006, China;
3. School of Artificial Intelligence, Nanjing University of Information Science & Technology, Nanjing 210044, China
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- 关键词:
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科学效应; 几何效应; 可拓知识表示; 拓展规则; 传导变换规则; 相关关系; 相关规则; 可拓变换
- Keywords:
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scientific effect; geometric effect; extension knowledge representation; extension rule; conductive transformation rule; correlation rule; correlation relationship; extension transformation
- 分类号:
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TP18
- DOI:
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10.11992/tis.202112016
- 文献标志码:
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2022-08-29
- 摘要:
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科学效应中蕴含庞大的科学知识,是面向功能矛盾问题求解的重要基础。为了建立科学效应的可拓知识库,实现面向功能问题的可拓智能设计,提出了一种以几何效应为例的面向实际应用的可拓知识表示方法,利用该方法对实际问题中几何效应的输入与输出关系所蕴含的可拓知识进行形式化表示。首先根据几何效应,建立基元模型;根据领域知识和可拓学中的相关规则,建立基元间的相关关系;根据主动变换、传导变换知识和基元的发散规则,对相关网中某基元实施主动变换;再根据可拓变换的蕴含系和传导变换规则,得到一系列的传导变换,进而建立可拓知识表达式,实现输入与输出的转换关系的表达;最后以双曲面搅拌器设计为例进一步拓展相应的可拓知识以解决领域问题。本研究可以使设计人员更加全面地理解几何效应实现的机理,以便更准确地选择应用几何效应解决实际问题,也为其他类型科学效应的可拓知识表示研究打下良好基础。
- Abstract:
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Scientific effect contains huge scientific knowledge, which is an essential basis for solving functional contradiction problems. To establish an extension knowledge base of scientific effect and realize extension intelligent design for function problems, we propose an extension knowledge representation approach for practical application based on geometric effect. With the help of this technique, extension knowledge found in the input-output relationship of geometric effects in real-world issues can be formally represented. First, the basic-element model is developed according to the geometric effect. Domain knowledge and correlation rules in Extenics are used to establish the relationship between basic-elements. According to the knowledge of active transformation, conductive transformation, and the divergence rules of basic-elements, active transformation is performed on basic-elements in the correlation network, and then a series of conductive transformations are obtained based on the extension transformation implication system and conductive transformation rules, and then the extension knowledge expression is established to realize the expression of transformation relationship between input and output. Finally, the hyperbolic mixer design is taken as an example to further expand corresponding extension knowledge to address the field problems. This study can help designers better understand how geometric effects are realized, enabling them to select them more precisely to solve real-world problems. It can also serve as a solid foundation for the extension knowledge representation to include other types of scientific effects.
备注/Memo
收稿日期:2021-12-08。
基金项目:国家自然科学基金项目(72071049).
作者简介:葛标标,硕士研究生,主要研究方向为可拓设计、创新设计、智能设计;杨春燕,教授,广东工业大学可拓学与创新方法研究所名誉所长,中国人工智能学会理事、杰出会员、杰出贡献奖获得者,全国可拓学研究领域的学术带头人之一,主要研究方向为可拓学、知识工程、创新方法与创新设计、智能系统。主持国家自然科学基金项目3项、广东省自然科学基金项目3项和广东省科技计划项目3项。获广东省科学技术奖二等奖1项、三等奖2项,获中国人工智能学会首届“吴文俊人工智能科学技术奖创新奖”一等奖1项。出版专著12部,发表学术论文90余篇;汤龙,副教授,中国人工智能学会可拓学专业委员会常务委员、副秘书长,主要研究方向为多视角学习、弱监督学习、小样本学习、零样本学习、可拓智能。主持国家自然科学基金青年项目、广东省自然科学基金面上项目、江苏省自然科学基金面上项目3项。发表学术论文20余篇
通讯作者:杨春燕.E-mail:276519106@qq.com
更新日期/Last Update:
1900-01-01