文章摘要
宫琳,刘海渤,章献鹏,刘欣.面向群智设计的跨领域知识激励创意生成方法[J].包装工程,2024,(24):22-30.
面向群智设计的跨领域知识激励创意生成方法
Creativity Generation Method of Cross-domain Knowledge Incentive for Collective Intelligence Design
投稿时间:2024-07-15  
DOI:10.19554/j.cnki.1001-3563.2024.24.003
中文关键词: 群智设计  知识激励  创意生成
英文关键词: collective intelligence design  knowledge incentive  creativity generation
基金项目:国家自然科学基金(52375229)
作者单位
宫琳 北京理工大学 机械与车辆学院北京 100081
北京理工大学长三角研究院嘉兴浙江 嘉兴 314011 
刘海渤 北京理工大学 机械与车辆学院北京 100081 
章献鹏 北京理工大学 机械与车辆学院北京 100081 
刘欣 北京理工大学 机械与车辆学院北京 100081
北京理工大学长三角研究院嘉兴浙江 嘉兴 314011 
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中文摘要:
      目的 针对群智设计过程中复杂的组成要素和运行机理,研究群智设计的创意生成与知识资源利用问题,提出一种面向群智设计开展跨领域知识激励辅助创意生成的方法。方法 对群智设计过程中参与的设计人员进行群体划分,支持设计启发与共识达成过程;构建跨领域知识库,作为设计启发过程的重要工具;基于设计群体划分与跨领域知识库,构建群智设计中的知识启发与共识达成过程框架。结果 形成面向群智设计过程的跨领域知识激励流程与框架,进一步支撑群智创新设计。结论 有助于多领域设计知识在设计过程中的共享与重用,能够提高群智设计的设计效果、促进群智设计进一步发展、丰富群智设计的应用场景。
英文摘要:
      Aiming at the complex elements and operation mechanism in the process of collective intelligence design, the work aims to study the creativity generation and knowledge resource utilization in collective intelligence design, and propose a method of cross-domain knowledge incentive to assist creativity generation in collective intelligence design. Firstly, the designers involved in the process of collective intelligence design are divided into groups to support the process of design inspiration and consensus. Secondly, a cross-domain knowledge base is built as an important tool in the process of design inspiration. Finally, based on the design group division and cross-domain knowledge base, the process framework of knowledge incencive and consensus building in collective intelligence design is constructed. A cross-domain knowledge incentive process and framework for collective intelligence design process is formed, which can further support collective intelligence innovative design. This method is conducive to the sharing and reuse of multi-domain design knowledge in the design process and can improve the design effect, promote the further development, and enrich the application scenarios of collective intelligence design.
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