05175nam a22005415i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001500153072001600168072002300184072001500207245015300222250001800375264006900393300006700462336002600529337002600555338003600581347002400617490006500641505108200706520204901788650002503837650002503862650002403887650003103911650002603942650002503968650002603993650002404019650004504043650001804088650003904106650005104145700007804196700008004274710003404354773002604388776003604414776003604450776003604486830006504522856004604587978-3-031-59999-6DE-He21320251030112907.0cr nn 008mamaa240823s2024    sz |    s    |||| 0|eng d  a97830315999967 a10.1007/978-3-031-59999-62doi 4aQA76.9.C65 7aUYM2bicssc 7aCOM0720002bisacsh 7aUYM2thema10aHybrid Modeling and Simulationh[electronic resource] :bConceptualizations, Methods and Applications /cedited by Masoud Fakhimi, Navonil Mustafee.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXVIII, 352 p. 95 illus., 33 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aSimulation Foundations, Methods and Applications,x2195-28250 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.  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. 0aComputer simulation. 0aOperations research. 0aManagement science. 0aMathematical optimization. 0aComputer engineering. 0aComputer networks . 0aApplication software.14aComputer Modelling.24aOperations Research, Management Science.24aOptimization.24aComputer Engineering and Networks.24aComputer and Information Systems Applications.1 aFakhimi, Masoud.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aMustafee, Navonil.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303159998908iPrinted edition:z978303160000508iPrinted edition:z9783031600012 0aSimulation Foundations, Methods and Applications,x2195-282540uhttps://doi.org/10.1007/978-3-031-59999-6