可拓学与知识管理交叉研究视角下的问题智能化处理

Intelligent Problem Solving from the Perspective of Extenics and Knowledge Management

目的虽然人工智能在机器学习和确定性问题求解方面取得了重要进展,但是在管理实践中更普遍的矛盾问题处理方面仍旧主要依赖于个体的经验,其智能化求解是学科交叉广、科学价值高的学术难题,因此亟需开拓问题智能化处理的新方向。方法在综述国内外问题处理相关研究现状的基础上,回顾可拓学在矛盾问题处理方面的研究进展,分析可拓学在矛盾问题智能化处理方面的主要流程和方法,结合人工智能技术,从可拓学与知识管理交叉研究的视角,指出了问题智能化处理的几种新方向。结论通过可拓学与智能知识管理的交叉研究,可以进一步利用新一代信息技术,按照一定的程序,系统化生成处理问题的所有可能的策略,从而提高问题求解从不确定性和随机性向必然性转化的程度,探索构建中国特色、中国风格的问题智能处理理论与方法。

Artificial intelligence has made important progress in machine learning and problem solving of certainty,but the more common uncertain or even contradictions in management practice still relies on individual experience.Its intelligent solving is an academic problem with wide interdisciplinary and high scientific value.Based on the review of the current research of problem solving in China and abroad,this paper focus on the research progress of Extenics in the field of contradiction problem solving,analyzes the main process and extension method in the intelligent processing of contradiction problems.Then we summarize and point out several new directions of intelligent problem processing from the perspective of cross research of Extenics and knowledge management on artificial intelligence,.The research on above directions will further use new generation of information technology to systematically generate all possible strategies to deal with problems according to a certain workflow,so as to improve the degree of transformation from uncertainty and randomness to inevitability of problem solving,to explore the construction of new intelligent theory and methods of Chinese characteristics and Chinese style.