计算机工程与应用2024，Vol.60Issue(24)：1-19,19.DOI:10.3778/j.issn.1002-8331.2405-0407
因果学习方法和应用概述
Overview of Causal Learning Techniques and Applications
摘要
Abstract
Machine learning is the core of artificial intelligence and data science,and is widely used in education,trans-portation and manufacturing.With the development of machine learning and the extension of application fields,the models have revealed some problems to be solved in terms of interpretability and fairness.Causal learning(CL),as a method com-bining causality and machine learning techniques,can enhance the interpretability of the model and solve the problems of fairness,and its research has gradually become a hot spot in the academic world.Therefore,based on the introduction of the relevant theoretical knowledge of CL,the techniques of causal explanation,causal supervised learning,causal fairness,and causal reinforcement learning are firstly analyzed and outlined in an all-round way according to the problems that can be solved by CL.Secondly,the applications of CL in the fields of medicine,agriculture and intelligent manufacturing are summarized from multiple perspectives.Finally,some open problems and challenges of CL are summarized,and future research directions are given,aiming to promote the continuous development of CL.关键词
机器学习/因果关系/因果学理论/因果模型/因果学习技术/因果学习应用Key words
machine learning/causal relationship/causal theory/causal model/causal learning(CL)techniques/application of causal learning(CL)分类
信息技术与安全科学引用本文复制引用
龙享福,李少波,张仪宗,杨磊,李传江..因果学习方法和应用概述[J].计算机工程与应用,2024,60(24):1-19,19.基金项目
国家自然科学基金面上项目(52275480) （52275480）
中央引导地方科技发展资金储备项目(黔科合中引地[2023]002) （黔科合中引地[2023]002）
贵州省省级科技计划项目(黔科合基础-ZK[2023]一般059) （黔科合基础-ZK[2023]一般059）
贵州省教育厅青年科技人才成长项目(黔教合KY字[2022]142号). （黔教合KY字[2022]142号）
