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Hybrid modeling and simulation = conceptualizations, methods and applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Hybrid modeling and simulation/ edited by Masoud Fakhimi, Navonil Mustafee.
Reminder of title:	conceptualizations, methods and applications /
other author:	Fakhimi, Masoud.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xviii, 352 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Simulation methods. -
Online resource:	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:

677323
Simulation methods.

LC Class. No.: T57.62

Dewey Class. No.: 001.434

Hybrid modeling and simulation = conceptualizations, methods and applications /
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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.
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