Toward parallel intelligence: An interdisciplinary solution for complex systems
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 (...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-11-01
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| Series: | The Innovation |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666675823001492 |
| _version_ | 1797653888171507712 |
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| author | Yong Zhao Zhengqiu Zhu Bin Chen Sihang Qiu Jincai Huang Xin Lu Weiyi Yang Chuan Ai Kuihua Huang Cheng He Yucheng Jin Zhong Liu Fei-Yue Wang |
| author_facet | Yong Zhao Zhengqiu Zhu Bin Chen Sihang Qiu Jincai Huang Xin Lu Weiyi Yang Chuan Ai Kuihua Huang Cheng He Yucheng Jin Zhong Liu Fei-Yue Wang |
| author_sort | Yong Zhao |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T16:51:19Z |
| format | Article |
| id | doaj.art-59d3d85805a4413896cf89d0f31351ef |
| institution | Directory Open Access Journal |
| issn | 2666-6758 |
| language | English |
| last_indexed | 2024-03-11T16:51:19Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | The Innovation |
| spelling | doaj.art-59d3d85805a4413896cf89d0f31351ef2023-10-21T04:23:19ZengElsevierThe Innovation2666-67582023-11-0146100521Toward parallel intelligence: An interdisciplinary solution for complex systemsYong Zhao0Zhengqiu Zhu1Bin Chen2Sihang Qiu3Jincai Huang4Xin Lu5Weiyi Yang6Chuan Ai7Kuihua Huang8Cheng He9Yucheng Jin10Zhong Liu11Fei-Yue Wang12College of Systems Engineering, National University of Defense Technology, Changsha 410073, ChinaCollege of Systems Engineering, National University of Defense Technology, Changsha 410073, ChinaCollege of Systems Engineering, National University of Defense Technology, Changsha 410073, China; Hunan Institute of Advanced Technology, Changsha 410073, ChinaCollege of Systems Engineering, National University of Defense Technology, Changsha 410073, China; Corresponding authorCollege of Systems Engineering, National University of Defense Technology, Changsha 410073, China; Hunan Institute of Advanced Technology, Changsha 410073, China; Corresponding authorCollege of Systems Engineering, National University of Defense Technology, Changsha 410073, China; Corresponding authorCollege of Systems Engineering, National University of Defense Technology, Changsha 410073, ChinaCollege of Systems Engineering, National University of Defense Technology, Changsha 410073, ChinaCollege of Systems Engineering, National University of Defense Technology, Changsha 410073, China; Hunan Institute of Advanced Technology, Changsha 410073, ChinaShanghai Institute of Infectious Disease and Biosecurity, Shanghai 200032, China; Institute of Epidemiology, Helmholtz Zentrum München – German Research Center for Environmental Health (GmbH), Neuherberg, GermanyDepartment of Computer Science, Hong Kong Baptist University, Hong Kong, ChinaCollege of Systems Engineering, National University of Defense Technology, Changsha 410073, China; Hunan Institute of Advanced Technology, Changsha 410073, ChinaState Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, ChinaThe 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.http://www.sciencedirect.com/science/article/pii/S2666675823001492 |
| spellingShingle | Yong Zhao Zhengqiu Zhu Bin Chen Sihang Qiu Jincai Huang Xin Lu Weiyi Yang Chuan Ai Kuihua Huang Cheng He Yucheng Jin Zhong Liu Fei-Yue Wang Toward parallel intelligence: An interdisciplinary solution for complex systems The Innovation |
| title | Toward parallel intelligence: An interdisciplinary solution for complex systems |
| title_full | Toward parallel intelligence: An interdisciplinary solution for complex systems |
| title_fullStr | Toward parallel intelligence: An interdisciplinary solution for complex systems |
| title_full_unstemmed | Toward parallel intelligence: An interdisciplinary solution for complex systems |
| title_short | Toward parallel intelligence: An interdisciplinary solution for complex systems |
| title_sort | toward parallel intelligence an interdisciplinary solution for complex systems |
| url | http://www.sciencedirect.com/science/article/pii/S2666675823001492 |
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