摘要
不确定性问题在现实世界中普遍存在,对人类理解认知世界和决策行为产生重大影响,也是不确定性人工智能研究的重要课题之一.尽管人工智能在处理不确定性问题方面取得一定进展,但仍难以有效认知处理不确定性问题.不确定性主要来源于概念边界的不确定性及刻画概念边界信息不足导致的不确定性.因此,如何准确识别不确定性问题的边界并有效处理边界成为人工智能领域的重要科学问题.本文首先总结归纳了认知处理不确定性问题的理论模型和方法,揭示了认知不确定性问题本质上是研究两个对立状态(确定状态)之间转变的过渡状态(边界),即识别和处理边界问题.随后从认知不确定性问题边界的角度,按照“点、线、面”的精确边界到“区间、区域、空间”的模糊边界等不同维度,分析了不确定性问题的边界呈现形式.最后,对处理不确定性问题的边界理论进行了讨论和总结,并对未来研究问题和方向进行了展望.本文研究为认知不确定性问题提供了一个新的视角,旨在推动不确定性问题的边界理论的发展和完善.
Uncertainty problems are ubiquitous in the real world and have a significant impact on human understanding,cognition,and decision-making,making them an important topic in uncertain artificial intelligence research.Despite the fact that some progress has been made in artificial intelligence in dealing with uncertainty problems,it remains a challenging task to effectively address cognitive uncertainty.Uncertainty arises primarily from the conceptual boundary and from insufficient information to characterize it.Therefore,how to accurately identify the boundary for uncertainty and effectively deal with the boundary has become an important scientific problem in the field of artificial intelligence.This paper first summarizes the theoretical models and methods for dealing with uncertainty,revealing that the cognitive uncertainty is essentially the study of the transition state(boundary)between two opposing states(certainty),that is,the problem of identifying and dealing with the boundary.Secondly,the presentation forms of uncertainty in different dimensions are analyzed from the perspective of cognitive uncertainty boundary,such as the precise boundary of“point,line,and surface”and the fuzzy boundary of“interval,region,and space”.Finally,the boundary theory for uncertainty is discussed and summarized,and future research questions and directions are prospected.This study provides a new perspective on cognitive uncertainty and aims to promote the development and refinement of the boundary theory for uncertainty.
作者
张清华
洪承鑫
赵凡
高满
程云龙
王国胤
ZHANG Qing-hua;HONG Cheng-xin;ZHAO Fan;GAO Man;CHENG Yun-long;WANG Guo-yin(School of Computer Science and Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Chongqing Key Laboratory of Computational Intelligence,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Key Laboratory of Cyberspace Big Data Intelligent Security,Ministry of Education,Chongqing 400065,China;Key Laboratory of Tourism Multi-source Data Perception and Decision-Making Technology,Ministry of Culture and Tourism,Chongqing 400065,China;School of Mathematical Sciences,Shanxi Normal University,Taiyuan,Shanxi 030031,China;Sichuan-Chongqing Co-Construction Key Laboratory of Digital Economy Intelligence and Security,Chongqing 400065,China;Chongqing Key Laboratory of Brain-Inspired Cognitive Computing and Educational Rehabilitation for Children with Special Needs,Chongqing Normal University,Chongqing 401331,China)
出处
《电子学报》
北大核心
2025年第10期3622-3639,共18页
Acta Electronica Sinica
基金
国家自然科学基金(No.62276038,No.62221005)
重庆市教委重点合作项目(No.HZ2021008)
重庆市自然科学基金创新发展联合基金(No.CSTB2023NSCQ-LZX0164)
重庆英才计划(No.cstc2022ycjh-bgzxm0089)
重庆邮电大学博士人才培养计划(No.BYJS202407)。
关键词
不确定性问题
边界
粗糙集
模糊集
状态转变
uncertaintyproblems
boundary
rough set
fuzzy set
state transition
