Boundary Thinking for Cognitive Uncertainty Problems

ZHANG Qing-hua; HONG Cheng-xin; ZHAO Fan; GAO Man; CHENG Yun-long; WANG Guo-yin

doi:10.12263/DZXB.20250577

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Boundary Thinking for Cognitive Uncertainty Problems

PAPERS | 更新时间：2026-02-05

- Boundary Thinking for Cognitive Uncertainty Problems
- ACTA ELECTRONICA SINICA Vol. 53, Issue 10, Pages: 3622-3639(2025)
- 作者机构：
  
  1.重庆邮电大学计算机科学与技术学院，重庆 400065
  2.重庆邮电大学计算智能重庆市重点实验室，重庆 400065
  3.网络空间大数据智能安全教育部重点实验室，重庆 400065
  4.旅游多源数据感知与决策技术文化和旅游部重点实验室，重庆 400065
  5.山西师范大学数学科学学院，山西太原 030031
  6.川渝共建数字经济智能与安全重点实验室，重庆 400065
  7.类脑认知计算与特殊儿童教育康复重庆市重点实验室（重庆师范大学），重庆 401331
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(62276038;62221005);Joint Fund of Chongqing Natural Science Foundation for Innovation and Development(CSTB2023NSCQ-LZX0164);Chongqing Talent Program(cstc2022ycjh-bgzxm0089);Doctoral Talent Training Program of Chongqing University of Posts and Telecommunications(BYJS202407)
- DOI：10.12263/DZXB.20250577
  CLC： TP39
- Received：30 June 2025，
  
  Accepted：13 October 2025，
  
  Published：25 October 2025
- 稿件说明：
移动端阅览
张清华, 洪承鑫, 赵凡, 等. 认知不确定性问题的边界思维[J]. 电子学报, 2025, 53(10): 3622-3639.

ZHANG Qing-hua, HONG Cheng-xin, ZHAO Fan, et al. Boundary Thinking for Cognitive Uncertainty Problems[J]. Acta Electronica Sinica, 2025, 53(10): 3622-3639.
张清华, 洪承鑫, 赵凡, 等. 认知不确定性问题的边界思维[J]. 电子学报, 2025, 53(10): 3622-3639. DOI：10.12263/DZXB.20250577

ZHANG Qing-hua, HONG Cheng-xin, ZHAO Fan, et al. Boundary Thinking for Cognitive Uncertainty Problems[J]. Acta Electronica Sinica, 2025, 53(10): 3622-3639. DOI：10.12263/DZXB.20250577

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.

Abstract

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.

关键词

Keywords

references

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