开放性问题求解的完备性知识网络研究

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doi:10.12052/gdutxb.240078

摘要： 目标和问题领域相对确定，边界条件可以拓展的开放性问题在生活中比比皆是，如何能在理论指导下为知识智能拓展提供方向，形成开放性问题求解的完备性知识网络具有重要意义。本文以策略生成所需原料的描述性知识、对问题初始目标与条件进行界定的领域知识以及策略生成工具的方法论知识作为构建完备性知识网络的主要知识类别，并以初始目标能否实现来验证知识网络的完备性。最后通过人因工学椅的设计案例验证了方法的可行性。该研究采用可拓创新方法体系中形式化与定量化相结合的方式，可以为人工智能环境下开放性问题求解的完备性知识网络建立提供一种新思路。

关键词: 开放性问题求解, 完备性知识网络, 可拓创新方法体系, 人因工学椅

Abstract: Ill-defined problems, with relatively defined goals and problem domains but expandable boundary conditions, are ubiquitous in life. It is of significant importance to provide directions for the intelligent expansion of knowledge under theoretical guidance, there by forming a comprehensive knowledge network for solving such open-ended problems. This research identifies three primary knowledge categories that constitute the foundation of complete knowledge network: descriptive knowledge of strategy generation materials, domain knowledge that delineates the initial goals and conditions of the problems, and methodological knowledge suitable for the tools employed in strategy generation. The completeness of knowledge network is validated through the achievement of the initial objectives. Finally, the feasibility of the proposed approach is demonstrated through a case study on the design of the ergonomic office chair. By adopting a hybrid approach that integrates formalization and quantification within the extension innovation methodology system, this research offers a novel pathway for establishing a comprehensive knowledge network for solving open-ended problems in an artificial intelligence context.

Key words: ill-defined problems solving, complete knowledge network, extension innovation method system, ergonomic office chair

中图分类号:

TP18

刘德发, 刘泽权, 李兴森. 开放性问题求解的完备性知识网络研究[J]. 广东工业大学学报, 2025, 42(1): 87-96.doi: 10.12052/gdutxb.240078

Liu Defa, Liu Zequan, Li Xingsen. A Research on Knowledge Completeness of Ill-defined Problem Solving[J]. Journal of Guangdong University of Technology, 2025, 42(1): 87-96.doi: 10.12052/gdutxb.240078

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