Abductive learning: towards bridging machine learning and logical reasoning

作     者：Zhi-Hua ZHOU 

作者机构：National Key Laboratory for Novel Software Technology Nanjing University 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2019年第62卷第7期

页      面：220-222页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by National Key R&D Program of China (Grant No. 2018YFB1004300) National Natural Science Foundation of China (Grant No. 61751306) 

主　　题：pro towards bridging machine learning and logical reasoning Abductive learning 

摘      要：In the history of artificial intelligence research,machine learning and logical reasoning have almost been separately developed. It is often argued that advanced intelligent technologies would emerge when machine learning and logical reasoning are seamlessly integrated as human beings generally perform problem-solving based on the