[1]杨春燕,李卫华,汤龙,等.基于可拓学和HowNet的策略生成系统研究进展[J].智能系统学报编辑部,2015,10(6):823-830.[doi:10.11992/tis.201507057]
YANG Chunyan,LI Weihua,TANG Long,et al.Strategy-generating system based on Extenics and HowNet[J].CAAI Transactions on Intelligent Systems,2015,10(6):823-830.[doi:10.11992/tis.201507057]
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YANG Chunyan,LI Weihua,TANG Long,et al.Strategy-generating system based on Extenics and HowNet[J].CAAI Transactions on Intelligent Systems,2015,10(6):823-830.[doi:10.11992/tis.201507057]
基于可拓学和HowNet的策略生成系统研究进展
《智能系统学报》编辑部[ISSN 1673-4785/CN 23-1538/TP] 卷:
10
期数:
2015年第6期
页码:
823-830
栏目:
综述
出版日期:
2015-12-25
- Title:
- Strategy-generating system based on Extenics and HowNet
- Keywords:
- Extenics; HowNet; strategy-generating; extension strategy-generating system(ESGS); contradictory problem
- 分类号:
- TP18
- 摘要:
- 在已有可拓策略生成系统框架基础上,利用可拓信息-知识-策略形式化表示体系、HowNet的知识系统描述语言(KDML)和Agent的智能引导,建立了基于可拓学和HowNet的策略生成系统的基本流程和系统框架结构,增强了可拓策略生成系统解决矛盾问题的能力,改善了知识资源缺乏问题,提高了其问题模型建立的准确性和知识处理能力。初步的应用显示了该研究的优越性。把可拓学和HowNet这2个中国原创的理论和应用工具相结合研究策略生成系统,将使这项有别于传统研究思路的基础研究取得重要突破,产生具有完全自主知识产权的成果。这也是为将来能实现矛盾问题的智能化处理作基础性的工作。
- Abstract:
- Due to the lack of a sufficient knowledge base, traditional extension strategy-generating systems(ESGS) are often not sufficiently robust to generate effective strategies for solving given contradictory problems. To overcome this drawback, this paper proposes the use of the HowNet knowledge base to help ESGS to generate strategies. We established the basic flow chart and system frame structure using the formalized system of extension information knowledge-strategy, the knowledge database description language(KDML) of HowNet, and the intelligence guidance by Agent. Preliminary applications have shown the superiority of this concept. Combining Extenics with HowNet, both original Chinese theories and application tools, respectively, will establish a research foundation that will necessarily diverge from traditional research ideas toward the likelihood of significant breakthrough. This research will produce original results characterized by independent intellectual property rights, which will make possible the realization of the intelligent processing of contradictory problems in the future.
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- 相似文献/References:
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备注/Memo
收稿日期:2015-07-23;改回日期:。
基金项目:国家自然科学基金资助项目(61273306);广东省科技计划资助项目(2012B061000012).
作者简介:杨春燕,女,1964年生,研究员。主要研究方向为可拓论和可拓创新方法及其在人工智能、管理决策、信息与知识管理等领域中的应用研究工作。主持3项国家自然科学基金项目、3项广东省自然科学基金项目和1项广东省科技计划项目。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。发表学术论文90余篇,出版专著9部。李卫华,女,1957年生,教授,硕士生导师,主要研究方向为智能软件、面向Agent计算、网络信息系统、可拓策略生成系统等,发表学术论文40余篇。汤龙,男,1985年生,讲师,广东工业大学可拓学与创新方法研究所,中国人工智能学会可拓学专业委员会青年部副部长。主要研究方向为可拓策略生成与可拓数据挖掘,目前主持国家自然科学基金1项,广东省教育厅项目1项,在SCI、EI以及国内核心期刊共发表论文6篇。
通讯作者:杨春燕.E-mail:fly_swallow@126.com.
更新日期/Last Update:
1900-01-01