國立虎尾科技大學 |

Hybrid modeling and simulation = conceptualizations, methods and applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Hybrid modeling and simulation/ edited by Masoud Fakhimi, Navonil Mustafee.
其他題名:	conceptualizations, methods and applications /
其他作者:	Mustafee, Navonil.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xviii, 352 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Computer and Information Systems Applications. -
電子資源:	https://doi.org/10.1007/978-3-031-59999-6
ISBN:	9783031599996

Hybrid modeling and simulation = conceptualizations, methods and applications /
Hybrid modeling and simulationconceptualizations, methods and applications /[electronic resource] :edited by Masoud Fakhimi, Navonil Mustafee. - Cham :Springer Nature Switzerland :2024. - xviii, 352 p. :ill. (some col.), digital ;24 cm. - Simulation foundations, methods and applications,2195-2825. - Simulation foundations, methods and applications..

1. Introduction to Hybrid Modelling and Simulation -- 2. Hybrid Modeling and Simulation Concepts for Complex Socio-Technical Systems -- 3. Network-based Operational Modelling for Informing Inter-organisational Healthcare Simulation Conceptual Modelling -- 4. Modeling and Simulation of Software Product Lines with the HyFlow Formalism -- 5. Event Scheduling Approach for Simulating Agents with Behaviours -- 6. Hybrid M&S with Digital Twin Technology -- 7. Using the Modelling Frame to Maximize the Advantages of Hybridization During the Conceptual Modelling Process -- 8. Hybrid Simulation in Healthcare Applications -- 9. Hybrid Modelling Approach Using ML (RL) in Conjunction with Simulation -- 10. Hybrid Conceptual Modelling of Complex Dynamical Social Systems -- 11. Use of Hybrid Modelling and Simulation Method with Techniques from Wider Operations Research like ARIMA Forecasting -- 12. Conceptual Modelling for Hybrid M&S -- 13. Automated Methods for Model Building -- 14. Discrete-Event System Specification Modeling for the Development of Cyber-Physical Systems.

The unique book advances understanding of modelling complex systems using hybrid approaches that combine discrete-event, agent-based, and system dynamic simulations with research approaches and artefacts from other scientific disciplines. As systems become increasingly large and complex, it is a challenge to capture the intricacies of the underlying system and offer novel forms of analysis using only models that employ a single simulation technique. The book underscores the importance of both hybrid simulation (employing techniques primarily developed in the field of modelling and simulation) and hybrid modelling (incorporating simulation with methods from wider disciplines such as applied computing, data science, engineering, and soft/qualitative operations research) Furthermore, the text aims to inspire further research and practice, fostering the growth of cross-disciplinary hybrid models. Topics and features: Provides a comprehensive overview of hybrid modelling and simulation, including methodological extensions and novel applications Features case studies and examples demonstrating the synergy realized by applying hybrid methods Calls for innovation and growth of the discipline by incorporating diverse scientific perspectives Encourages adoption of interdisciplinary methods to engender improved insights from simulation studies Promotes interdisciplinary collaboration, pushing modelling and simulation into new research and application areas This comprehensive volume will appeal to researchers, academics, students, and practitioners who seek to advance their modelling and simulation work. The book also will serve as a reference, informing research communities of the potential of hybrid models that combine simulation with disciplinary research artefacts, methods, and approaches. The U.K -- based editors of the book are Dr Masoud Fakhimi from the University of Surrey Business School and Professor Nav Mustafee from the Centre for Simulation, Analytics and Modelling at the University of Exeter Business School.

ISBN: 9783031599996

Standard No.: 10.1007/978-3-031-59999-6doiSubjects--Topical Terms:

1365732
Computer and Information Systems Applications.

LC Class. No.: T57.62

Dewey Class. No.: 001.434

Hybrid modeling and simulation = conceptualizations, methods and applications /
LDR:04256nam a22003495a 4500 001 1134698
003 DE-He213
005 20240823124802.0
006 m d
007 cr nn 008maaau
008 241213s2024 sz s 0 eng d
020 $a 9783031599996 $q (electronic bk.)
020 $a 9783031599989 $q (paper)
024 7 $a 10.1007/978-3-031-59999-6 $2 doi
035 $a 978-3-031-59999-6
040 $a GP $c GP
041 0 $a eng
050 4 $a T57.62
072 7 $a UYM $2 bicssc
072 7 $a COM072000 $2 bisacsh
072 7 $a UYM $2 thema
082 0 4 $a 001.434 $2 23
090 $a T57.62 $b .H992 2024
245 0 0 $a Hybrid modeling and simulation $h [electronic resource] : $b conceptualizations, methods and applications / $c edited by Masoud Fakhimi, Navonil Mustafee.
260 $a Cham : $c 2024. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a xviii, 352 p. : $b ill. (some col.), digital ; $c 24 cm.
347 $a text file $b PDF $2 rda
490 1 $a Simulation foundations, methods and applications, $x 2195-2825
505 0 $a 1. Introduction to Hybrid Modelling and Simulation -- 2. Hybrid Modeling and Simulation Concepts for Complex Socio-Technical Systems -- 3. Network-based Operational Modelling for Informing Inter-organisational Healthcare Simulation Conceptual Modelling -- 4. Modeling and Simulation of Software Product Lines with the HyFlow Formalism -- 5. Event Scheduling Approach for Simulating Agents with Behaviours -- 6. Hybrid M&S with Digital Twin Technology -- 7. Using the Modelling Frame to Maximize the Advantages of Hybridization During the Conceptual Modelling Process -- 8. Hybrid Simulation in Healthcare Applications -- 9. Hybrid Modelling Approach Using ML (RL) in Conjunction with Simulation -- 10. Hybrid Conceptual Modelling of Complex Dynamical Social Systems -- 11. Use of Hybrid Modelling and Simulation Method with Techniques from Wider Operations Research like ARIMA Forecasting -- 12. Conceptual Modelling for Hybrid M&S -- 13. Automated Methods for Model Building -- 14. Discrete-Event System Specification Modeling for the Development of Cyber-Physical Systems.
520 $a The unique book advances understanding of modelling complex systems using hybrid approaches that combine discrete-event, agent-based, and system dynamic simulations with research approaches and artefacts from other scientific disciplines. As systems become increasingly large and complex, it is a challenge to capture the intricacies of the underlying system and offer novel forms of analysis using only models that employ a single simulation technique. The book underscores the importance of both hybrid simulation (employing techniques primarily developed in the field of modelling and simulation) and hybrid modelling (incorporating simulation with methods from wider disciplines such as applied computing, data science, engineering, and soft/qualitative operations research) Furthermore, the text aims to inspire further research and practice, fostering the growth of cross-disciplinary hybrid models. Topics and features: Provides a comprehensive overview of hybrid modelling and simulation, including methodological extensions and novel applications Features case studies and examples demonstrating the synergy realized by applying hybrid methods Calls for innovation and growth of the discipline by incorporating diverse scientific perspectives Encourages adoption of interdisciplinary methods to engender improved insights from simulation studies Promotes interdisciplinary collaboration, pushing modelling and simulation into new research and application areas This comprehensive volume will appeal to researchers, academics, students, and practitioners who seek to advance their modelling and simulation work. The book also will serve as a reference, informing research communities of the potential of hybrid models that combine simulation with disciplinary research artefacts, methods, and approaches. The U.K -- based editors of the book are Dr Masoud Fakhimi from the University of Surrey Business School and Professor Nav Mustafee from the Centre for Simulation, Analytics and Modelling at the University of Exeter Business School.
650 2 4 $a Computer and Information Systems Applications. $3 1365732
650 2 4 $a Computer Engineering and Networks. $3 1365733
650 2 4 $a Optimization. $3 669174
650 2 4 $a Operations Research, Management Science. $3 785065
650 1 4 $a Computer Modelling. $3 1365730
650 0 $a Simulation methods. $3 677323
700 1 $a Mustafee, Navonil. $3 1105245
700 1 $a Fakhimi, Masoud. $3 1456268
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Simulation foundations, methods and applications. $3 1069130
856 4 0 $u https://doi.org/10.1007/978-3-031-59999-6
950 $a Computer Science (SpringerNature-11645)