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020 _a9783031599996
_9978-3-031-59999-6
024 7 _a10.1007/978-3-031-59999-6
_2doi
050 4 _aQA76.9.C65
072 7 _aUYM
_2bicssc
072 7 _aCOM072000
_2bisacsh
072 7 _aUYM
_2thema
245 1 0 _aHybrid Modeling and Simulation
_h[electronic resource] :
_bConceptualizations, Methods and Applications /
_cedited by Masoud Fakhimi, Navonil Mustafee.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXVIII, 352 p. 95 illus., 33 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSimulation Foundations, Methods and Applications,
_x2195-2825
505 0 _a1. 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 _aThe 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 0 _aComputer simulation.
650 0 _aOperations research.
_957943
650 0 _aManagement science.
_957941
650 0 _aMathematical optimization.
_965522
650 0 _aComputer engineering.
650 0 _aComputer networks .
_960157
650 0 _aApplication software.
650 1 4 _aComputer Modelling.
_965738
650 2 4 _aOperations Research, Management Science.
_965527
650 2 4 _aOptimization.
_965528
650 2 4 _aComputer Engineering and Networks.
650 2 4 _aComputer and Information Systems Applications.
700 1 _aFakhimi, Masoud.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_982755
700 1 _aMustafee, Navonil.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_982756
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031599989
776 0 8 _iPrinted edition:
_z9783031600005
776 0 8 _iPrinted edition:
_z9783031600012
830 0 _aSimulation Foundations, Methods and Applications,
_x2195-2825
_982757
856 4 0 _uhttps://doi.org/10.1007/978-3-031-59999-6
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
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