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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, F.Y.*

Toward parallel intelligence: An interdisciplinary solution for complex systems.

Innovation 4:100521 (2023)
Verlagsversion DOI PMC
Closed
Creative Commons Lizenzvertrag
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Review
Korrespondenzautor
Schlagwörter Computational Social-science; Of-the-art; Transportation Systems; Knowledge Automation; Autonomous Vehicles; Evacuation; Framework; Organizations; Metaverses; Scenarios
ISSN (print) / ISBN 2666-6758
e-ISSN 2666-6758
Zeitschrift Innovation
Quellenangaben Band: 4, Heft: 6, Seiten: , Artikelnummer: 100521 Supplement: ,
Verlag Zeiss
Verlagsort 50 Hampshire St, Floor 5, Cambridge, Ma 02139 Usa
Nichtpatentliteratur Publikationen
Institut(e) Institute of Epidemiology II (EPI2)
Förderungen Hunan Science and Technology Plan project
National Social Science Foundation of China
Social Science Foundation of Shanghai
National Major Research & Develop- ment Program of China, Social Science Foundation of Shanghai
Special Key Project of Biosafety Technologies for the National Major Research & Development Program of China
National Natural Science Foundation of China