State-of-the-Art Development of Complex Systems and Their Simulation Methods

The research on complex systems is different from that on general systems because the former must consider self-organization, emergence, uncertainty, predetermination, and evolution. As an important method to transform the world, a simulation is one of the most important skills to discover complex s...
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Autor*in:	Yiming Tang [verfasserIn] Lin Li [verfasserIn] Xiaoping Liu [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	systems science complex systems complexity complex system simulation

Übergeordnetes Werk:	In: Complex System Modeling and Simulation - Tsinghua University Press, 2022, 1(2021), 4, Seite 271-290
Übergeordnetes Werk:	volume:1 ; year:2021 ; number:4 ; pages:271-290

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.23919/CSMS.2021.0025

Katalog-ID:	DOAJ083720499

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allfields	10.23919/CSMS.2021.0025 doi (DE-627)DOAJ083720499 (DE-599)DOAJc2ed93bfd3ec4de39926a9a5db9d33a0 DE-627 ger DE-627 rakwb eng QA75.5-76.95 Yiming Tang verfasserin aut State-of-the-Art Development of Complex Systems and Their Simulation Methods 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The research on complex systems is different from that on general systems because the former must consider self-organization, emergence, uncertainty, predetermination, and evolution. As an important method to transform the world, a simulation is one of the most important skills to discover complex systems. In this study, we provide a survey on complex systems and their simulation methods. Initially, the development history of complex system research is summarized from two main lines. Then, the eight common characteristics of the most complex systems are presented. Furthermore, the simulation methods of complex systems are introduced in detail from four aspects, namely, meta-synthesis methods, complex networks, intelligent technologies, and other methods. From the overall point of view, intelligent technologies are the driving force, and complex networks are the advanced structure. Meta-synthesis methods are the integration strategy, and other methods are the supplements. In addition, we show three complex system simulation examples: digital reactor simulation, simulation of a logistics system in the industrial site, and crowd evacuation simulation. The examples show that a simulation is a useful means and an important method in complex system research. Finally, the future development prospects for complex systems and their simulation methods are suggested. systems science complex systems complexity complex system simulation Electronic computers. Computer science Systems engineering TA168 Lin Li verfasserin aut Xiaoping Liu verfasserin aut In Complex System Modeling and Simulation Tsinghua University Press, 2022 1(2021), 4, Seite 271-290 (DE-627)179485410X 20969929 nnns volume:1 year:2021 number:4 pages:271-290 https://doi.org/10.23919/CSMS.2021.0025 kostenfrei https://doaj.org/article/c2ed93bfd3ec4de39926a9a5db9d33a0 kostenfrei https://www.sciopen.com/article/10.23919/CSMS.2021.0025 kostenfrei https://doaj.org/toc/2096-9929 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 1 2021 4 271-290
spelling	10.23919/CSMS.2021.0025 doi (DE-627)DOAJ083720499 (DE-599)DOAJc2ed93bfd3ec4de39926a9a5db9d33a0 DE-627 ger DE-627 rakwb eng QA75.5-76.95 Yiming Tang verfasserin aut State-of-the-Art Development of Complex Systems and Their Simulation Methods 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The research on complex systems is different from that on general systems because the former must consider self-organization, emergence, uncertainty, predetermination, and evolution. As an important method to transform the world, a simulation is one of the most important skills to discover complex systems. In this study, we provide a survey on complex systems and their simulation methods. Initially, the development history of complex system research is summarized from two main lines. Then, the eight common characteristics of the most complex systems are presented. Furthermore, the simulation methods of complex systems are introduced in detail from four aspects, namely, meta-synthesis methods, complex networks, intelligent technologies, and other methods. From the overall point of view, intelligent technologies are the driving force, and complex networks are the advanced structure. Meta-synthesis methods are the integration strategy, and other methods are the supplements. In addition, we show three complex system simulation examples: digital reactor simulation, simulation of a logistics system in the industrial site, and crowd evacuation simulation. The examples show that a simulation is a useful means and an important method in complex system research. Finally, the future development prospects for complex systems and their simulation methods are suggested. systems science complex systems complexity complex system simulation Electronic computers. Computer science Systems engineering TA168 Lin Li verfasserin aut Xiaoping Liu verfasserin aut In Complex System Modeling and Simulation Tsinghua University Press, 2022 1(2021), 4, Seite 271-290 (DE-627)179485410X 20969929 nnns volume:1 year:2021 number:4 pages:271-290 https://doi.org/10.23919/CSMS.2021.0025 kostenfrei https://doaj.org/article/c2ed93bfd3ec4de39926a9a5db9d33a0 kostenfrei https://www.sciopen.com/article/10.23919/CSMS.2021.0025 kostenfrei https://doaj.org/toc/2096-9929 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 1 2021 4 271-290
allfields_unstemmed	10.23919/CSMS.2021.0025 doi (DE-627)DOAJ083720499 (DE-599)DOAJc2ed93bfd3ec4de39926a9a5db9d33a0 DE-627 ger DE-627 rakwb eng QA75.5-76.95 Yiming Tang verfasserin aut State-of-the-Art Development of Complex Systems and Their Simulation Methods 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The research on complex systems is different from that on general systems because the former must consider self-organization, emergence, uncertainty, predetermination, and evolution. As an important method to transform the world, a simulation is one of the most important skills to discover complex systems. In this study, we provide a survey on complex systems and their simulation methods. Initially, the development history of complex system research is summarized from two main lines. Then, the eight common characteristics of the most complex systems are presented. Furthermore, the simulation methods of complex systems are introduced in detail from four aspects, namely, meta-synthesis methods, complex networks, intelligent technologies, and other methods. From the overall point of view, intelligent technologies are the driving force, and complex networks are the advanced structure. Meta-synthesis methods are the integration strategy, and other methods are the supplements. In addition, we show three complex system simulation examples: digital reactor simulation, simulation of a logistics system in the industrial site, and crowd evacuation simulation. The examples show that a simulation is a useful means and an important method in complex system research. Finally, the future development prospects for complex systems and their simulation methods are suggested. systems science complex systems complexity complex system simulation Electronic computers. Computer science Systems engineering TA168 Lin Li verfasserin aut Xiaoping Liu verfasserin aut In Complex System Modeling and Simulation Tsinghua University Press, 2022 1(2021), 4, Seite 271-290 (DE-627)179485410X 20969929 nnns volume:1 year:2021 number:4 pages:271-290 https://doi.org/10.23919/CSMS.2021.0025 kostenfrei https://doaj.org/article/c2ed93bfd3ec4de39926a9a5db9d33a0 kostenfrei https://www.sciopen.com/article/10.23919/CSMS.2021.0025 kostenfrei https://doaj.org/toc/2096-9929 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 1 2021 4 271-290
allfieldsGer	10.23919/CSMS.2021.0025 doi (DE-627)DOAJ083720499 (DE-599)DOAJc2ed93bfd3ec4de39926a9a5db9d33a0 DE-627 ger DE-627 rakwb eng QA75.5-76.95 Yiming Tang verfasserin aut State-of-the-Art Development of Complex Systems and Their Simulation Methods 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The research on complex systems is different from that on general systems because the former must consider self-organization, emergence, uncertainty, predetermination, and evolution. As an important method to transform the world, a simulation is one of the most important skills to discover complex systems. In this study, we provide a survey on complex systems and their simulation methods. Initially, the development history of complex system research is summarized from two main lines. Then, the eight common characteristics of the most complex systems are presented. Furthermore, the simulation methods of complex systems are introduced in detail from four aspects, namely, meta-synthesis methods, complex networks, intelligent technologies, and other methods. From the overall point of view, intelligent technologies are the driving force, and complex networks are the advanced structure. Meta-synthesis methods are the integration strategy, and other methods are the supplements. In addition, we show three complex system simulation examples: digital reactor simulation, simulation of a logistics system in the industrial site, and crowd evacuation simulation. The examples show that a simulation is a useful means and an important method in complex system research. Finally, the future development prospects for complex systems and their simulation methods are suggested. systems science complex systems complexity complex system simulation Electronic computers. Computer science Systems engineering TA168 Lin Li verfasserin aut Xiaoping Liu verfasserin aut In Complex System Modeling and Simulation Tsinghua University Press, 2022 1(2021), 4, Seite 271-290 (DE-627)179485410X 20969929 nnns volume:1 year:2021 number:4 pages:271-290 https://doi.org/10.23919/CSMS.2021.0025 kostenfrei https://doaj.org/article/c2ed93bfd3ec4de39926a9a5db9d33a0 kostenfrei https://www.sciopen.com/article/10.23919/CSMS.2021.0025 kostenfrei https://doaj.org/toc/2096-9929 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 1 2021 4 271-290
allfieldsSound	10.23919/CSMS.2021.0025 doi (DE-627)DOAJ083720499 (DE-599)DOAJc2ed93bfd3ec4de39926a9a5db9d33a0 DE-627 ger DE-627 rakwb eng QA75.5-76.95 Yiming Tang verfasserin aut State-of-the-Art Development of Complex Systems and Their Simulation Methods 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The research on complex systems is different from that on general systems because the former must consider self-organization, emergence, uncertainty, predetermination, and evolution. As an important method to transform the world, a simulation is one of the most important skills to discover complex systems. In this study, we provide a survey on complex systems and their simulation methods. Initially, the development history of complex system research is summarized from two main lines. Then, the eight common characteristics of the most complex systems are presented. Furthermore, the simulation methods of complex systems are introduced in detail from four aspects, namely, meta-synthesis methods, complex networks, intelligent technologies, and other methods. From the overall point of view, intelligent technologies are the driving force, and complex networks are the advanced structure. Meta-synthesis methods are the integration strategy, and other methods are the supplements. In addition, we show three complex system simulation examples: digital reactor simulation, simulation of a logistics system in the industrial site, and crowd evacuation simulation. The examples show that a simulation is a useful means and an important method in complex system research. Finally, the future development prospects for complex systems and their simulation methods are suggested. systems science complex systems complexity complex system simulation Electronic computers. Computer science Systems engineering TA168 Lin Li verfasserin aut Xiaoping Liu verfasserin aut In Complex System Modeling and Simulation Tsinghua University Press, 2022 1(2021), 4, Seite 271-290 (DE-627)179485410X 20969929 nnns volume:1 year:2021 number:4 pages:271-290 https://doi.org/10.23919/CSMS.2021.0025 kostenfrei https://doaj.org/article/c2ed93bfd3ec4de39926a9a5db9d33a0 kostenfrei https://www.sciopen.com/article/10.23919/CSMS.2021.0025 kostenfrei https://doaj.org/toc/2096-9929 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 1 2021 4 271-290
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callnumber-first	Q - Science
author	Yiming Tang
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topic	misc QA75.5-76.95 misc systems science misc complex systems misc complexity misc complex system simulation misc Electronic computers. Computer science misc Systems engineering misc TA168
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title	State-of-the-Art Development of Complex Systems and Their Simulation Methods
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title_auth	State-of-the-Art Development of Complex Systems and Their Simulation Methods
abstract	The research on complex systems is different from that on general systems because the former must consider self-organization, emergence, uncertainty, predetermination, and evolution. As an important method to transform the world, a simulation is one of the most important skills to discover complex systems. In this study, we provide a survey on complex systems and their simulation methods. Initially, the development history of complex system research is summarized from two main lines. Then, the eight common characteristics of the most complex systems are presented. Furthermore, the simulation methods of complex systems are introduced in detail from four aspects, namely, meta-synthesis methods, complex networks, intelligent technologies, and other methods. From the overall point of view, intelligent technologies are the driving force, and complex networks are the advanced structure. Meta-synthesis methods are the integration strategy, and other methods are the supplements. In addition, we show three complex system simulation examples: digital reactor simulation, simulation of a logistics system in the industrial site, and crowd evacuation simulation. The examples show that a simulation is a useful means and an important method in complex system research. Finally, the future development prospects for complex systems and their simulation methods are suggested.
abstractGer	The research on complex systems is different from that on general systems because the former must consider self-organization, emergence, uncertainty, predetermination, and evolution. As an important method to transform the world, a simulation is one of the most important skills to discover complex systems. In this study, we provide a survey on complex systems and their simulation methods. Initially, the development history of complex system research is summarized from two main lines. Then, the eight common characteristics of the most complex systems are presented. Furthermore, the simulation methods of complex systems are introduced in detail from four aspects, namely, meta-synthesis methods, complex networks, intelligent technologies, and other methods. From the overall point of view, intelligent technologies are the driving force, and complex networks are the advanced structure. Meta-synthesis methods are the integration strategy, and other methods are the supplements. In addition, we show three complex system simulation examples: digital reactor simulation, simulation of a logistics system in the industrial site, and crowd evacuation simulation. The examples show that a simulation is a useful means and an important method in complex system research. Finally, the future development prospects for complex systems and their simulation methods are suggested.
abstract_unstemmed	The research on complex systems is different from that on general systems because the former must consider self-organization, emergence, uncertainty, predetermination, and evolution. As an important method to transform the world, a simulation is one of the most important skills to discover complex systems. In this study, we provide a survey on complex systems and their simulation methods. Initially, the development history of complex system research is summarized from two main lines. Then, the eight common characteristics of the most complex systems are presented. Furthermore, the simulation methods of complex systems are introduced in detail from four aspects, namely, meta-synthesis methods, complex networks, intelligent technologies, and other methods. From the overall point of view, intelligent technologies are the driving force, and complex networks are the advanced structure. Meta-synthesis methods are the integration strategy, and other methods are the supplements. In addition, we show three complex system simulation examples: digital reactor simulation, simulation of a logistics system in the industrial site, and crowd evacuation simulation. The examples show that a simulation is a useful means and an important method in complex system research. Finally, the future development prospects for complex systems and their simulation methods are suggested.
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title_short	State-of-the-Art Development of Complex Systems and Their Simulation Methods
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State-of-the-Art Development of Complex Systems and Their Simulation Methods

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