TY - JOUR
T1 - Toward parallel intelligence
T2 - An interdisciplinary solution for complex systems
AU - Zhao, Yong
AU - Zhu, Zhengqiu
AU - Chen, Bin
AU - Qiu, Sihang
AU - Huang, Jincai
AU - Lu, Xin
AU - Yang, Weiyi
AU - Ai, Chuan
AU - Huang, Kuihua
AU - He, Cheng
AU - Jin, Yucheng
AU - Liu, Zhong
AU - Wang, Fei Yue
N1 - This work is supported by the National Natural Science Foundation of China (62202477, 62173337, 62276272, 21808181, 72071207, 72025405, 72088101), Special Key Project of Biosafety Technologies (2022YFC2604000) for the National Major Research & Development Program of China, Social Science Foundation of Shanghai (2022JG204-ZGL730), National Social Science Foundation of China (22ZDA102), and Hunan Science and Technology Plan project (2020TP1013, 2020JJ4673, 2023JJ40685). This work is dedicated to the National University of Defense University (NUDT) for its 70th anniversary. Y.Z. Z.-Q.Z. S.-H.Q. and B.C. wrote and edited the manuscript. J.-C.H. X.L. and F.-Y.W. supervised and revised the manuscript. Other authors collected and collated the publications included in this review. All authors contributed to the article and approved the submitted version. The authors declare no competing interests.
Publisher Copyright:
© 2023 The Authors
PY - 2023/11/13
Y1 - 2023/11/13
N2 - The growing complexity of real-world systems necessitates interdisciplinary solutions to confront myriad challenges in modeling, analysis, management, and control. To meet these demands, the parallel systems method rooted in the artificial systems, computational experiments, and parallel execution (ACP) approach has been developed. The method cultivates a cycle termed parallel intelligence, which iteratively creates data, acquires knowledge, and refines the actual system. Over the past two decades, the parallel systems method has continuously woven advanced knowledge and technologies from various disciplines, offering versatile interdisciplinary solutions for complex systems across diverse fields. This review explores the origins and fundamental concepts of the parallel systems method, showcasing its accomplishments as a diverse array of parallel technologies and applications while also prognosticating potential challenges. We posit that this method will considerably augment sustainable development while enhancing interdisciplinary communication and cooperation.
AB - The growing complexity of real-world systems necessitates interdisciplinary solutions to confront myriad challenges in modeling, analysis, management, and control. To meet these demands, the parallel systems method rooted in the artificial systems, computational experiments, and parallel execution (ACP) approach has been developed. The method cultivates a cycle termed parallel intelligence, which iteratively creates data, acquires knowledge, and refines the actual system. Over the past two decades, the parallel systems method has continuously woven advanced knowledge and technologies from various disciplines, offering versatile interdisciplinary solutions for complex systems across diverse fields. This review explores the origins and fundamental concepts of the parallel systems method, showcasing its accomplishments as a diverse array of parallel technologies and applications while also prognosticating potential challenges. We posit that this method will considerably augment sustainable development while enhancing interdisciplinary communication and cooperation.
UR - http://www.scopus.com/inward/record.url?scp=85174437799&partnerID=8YFLogxK
U2 - 10.1016/j.xinn.2023.100521
DO - 10.1016/j.xinn.2023.100521
M3 - Review article
AN - SCOPUS:85174437799
SN - 2666-6758
VL - 4
JO - The Innovation
JF - The Innovation
IS - 6
M1 - 100521
ER -
