基于确定性信息理论的设计认知复杂度计算方法

发布时间：2018-03-29 11:43

本文选题：设计认知　切入点：复杂度　出处：《中国机械工程》2017年05期

【摘要】：针对创新设计模糊前端的认知计算问题,从信息处理研究的角度,借助口语数据来表征团队设计认知信息,提出了设计认知复杂度分析及计算方法。从设计的过程、内容、团队和方法四个方面阐述设计认知行为的复杂特性,并以链接表结构化表达设计推理的过程及概念信息,结合熵信息和确定性信息理论来描述设计认知,在新定义的链接矩阵的基础上实现T-code解析算法分析,对设计认知推理的不同阶段、概念分布、关键概念等方面开展设计认知的复杂度、信息量和信息熵研究。以功能背包设计为实例,对比分析设计认知敛散过程与设计概念空间的布局特性,验证了此计算方法的有效性和可行性。
[Abstract]:In view of the problem of cognitive computing in the fuzzy front end of creative design, from the point of view of information processing research and with the aid of spoken language data to represent the cognitive information of team design, this paper puts forward the analysis and calculation method of design cognitive complexity. The team and method elaborate the complex characteristics of design cognitive behavior, and express the process and concept information of design reasoning by link table structurally, combining entropy information and deterministic information theory to describe design cognition. Based on the newly defined link matrix, the T-code analytic algorithm is implemented to analyze the complexity of design cognition in different stages of design cognitive reasoning, conceptual distribution, key concepts, and so on. Taking the design of functional knapsack as an example, this paper compares the design cognitive convergence and divergence process with the layout characteristics of design concept space, and verifies the validity and feasibility of this method.
【作者单位】：同济大学设计创意学院;东南大学-蒙纳士大学苏州联合研究生院;
【基金】：国家自然科学基金资助项目(51205059,51675382,61672451) 中国工程院重大咨询项目(2013-ZD-15) 教育部中央高校基本科研业务费专项资金资助项目(3202004202) 江苏省产学研联合创新资金重大载体建设项目(BY2011014)
【分类号】：TB472

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