Parallel intelligence： toward lifelong and eternal developmental AI and learning in cyber-physical-social spaces  

作　　者：Fei-Yue WANG Jun Jason ZHANG Xiao WANG 

机构地区：[1]The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China [2]School of Electrical Engineering, Wuhan University, Wuhan 430072, China [3]Qingdao Academy of Intelligent Industries, Qingdao 266109, China

出　　处：《Frontiers of Computer Science》2018年第3期401-405,共5页中国计算机科学前沿（英文版）

基　　金：This work was supported by the National Natural Science Foundation of China （Grant Nos. 61533019, 71232006, 61702519）.

摘　　要：Dear editor, Fundamentally, there are only two main approaches so far in artificial intelligence （AI）： reasoning-oriented formal logic approach and function-oriented computational intelligence approach, so called Neats vs. Scuruffies, which is a reflection of the historical fight between two schools of thought for formalism and empiricism respectively in the field of AI that is continuing even today.Dear editor, Fundamentally, there are only two main approaches so far in artificial intelligence （AI）： reasoning-oriented formal logic approach and function-oriented computational intelligence approach, so called Neats vs. Scuruffies, which is a reflection of the historical fight between two schools of thought for formalism and empiricism respectively in the field of AI that is continuing even today.

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] B848.5[自动化与计算机技术—控制科学与工程]