TY - JOUR
AU - Xu, Li Da
AB - Artificial intelligence (AI) refers to human‐like intelligence exhibited by machines, that is, the ability of a computer or machine to mimic the human mind's capabilities. The recent fast development in AI is made possible by the availability of big data and the rapid growth in information and communications technologies (ICT).Systems science studies general systems, natural systems, artificial systems and other classes of systems. AI is considered one type of artificial systems. There are clear boundaries between artificial and natural systems that affect each other (Lin et al., 2013). The adverse effects of artificial systems on natural systems are one of the research topics in systems sciences.Designing AI systems involve systems complexity. There have been significant developments in this rapidly developing technology and actual and potential applications to various industrial sectors in recent years. However, the development of systems methodologies has to be synced with the rapid technological developments.This special issue of Systems Research and Behavioral Science is dedicated to the topic of ‘Systems Research on AI’. This special issue aims to provide researchers and practitioners an opportunity to view AI at the systems level.Systems science has been emerged and well developed since the second half of the 20th century. From 
TI - Systems research on artificial intelligence
JF - Systems Research & Behavioral Science
DO - 10.1002/sres.2839
DA - 2022-05-01
UR - https://www.deepdyve.com/lp/wiley/systems-research-on-artificial-intelligence-tB7vb5zPh2
SP - 359
EP - 360
VL - 39
IS - 3
DP - DeepDyve
ER -