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Zhao Y, Zhu Z, Chen B, Qiu S, Huang J, Lu X, Yang W, Ai C, Huang K, He C, Jin Y, Liu Z, Wang FY. Toward parallel intelligence: An interdisciplinary solution for complex systems. Innovation (N Y) 2023; 4:100521. [PMID: 37915363 PMCID: PMC10616416 DOI: 10.1016/j.xinn.2023.100521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 10/03/2023] [Indexed: 11/03/2023] Open
Abstract
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.
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Affiliation(s)
- Yong Zhao
- College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
| | - Zhengqiu Zhu
- College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
| | - Bin Chen
- College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
- Hunan Institute of Advanced Technology, Changsha 410073, China
| | - Sihang Qiu
- College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
| | - Jincai Huang
- College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
- Hunan Institute of Advanced Technology, Changsha 410073, China
| | - Xin Lu
- College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
| | - Weiyi Yang
- College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
| | - Chuan Ai
- College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
| | - Kuihua Huang
- College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
- Hunan Institute of Advanced Technology, Changsha 410073, China
| | - Cheng He
- Shanghai Institute of Infectious Disease and Biosecurity, Shanghai 200032, China
- Institute of Epidemiology, Helmholtz Zentrum München – German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Yucheng Jin
- Department of Computer Science, Hong Kong Baptist University, Hong Kong, China
| | - Zhong Liu
- College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
- Hunan Institute of Advanced Technology, Changsha 410073, China
| | - Fei-Yue Wang
- State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
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