LEADER 04590nam 2200529 450 001 996546841803316 005 20230429142849.0 010 $a3-031-11085-4 024 7 $a10.1007/978-3-031-11085-6 035 $a(MiAaPQ)EBC7187230 035 $a(Au-PeEL)EBL7187230 035 $a(CKB)26068922900041 035 $a(DE-He213)978-3-031-11085-6 035 $a(PPN)267808607 035 $a(EXLCZ)9926068922900041 100 $a20230429d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aBody of knowledge for modeling and simulation $ea handbook by the society for modeling and simulation international /$fedited by Tuncer O?ren, Bernard P. Zeigler, and Andreas Tolk 205 $a1st ed. 2023. 210 1$aCham, Switzerland :$cSpringer,$d[2023] 210 4$dİ2023 215 $a1 online resource (549 pages) 225 1 $aSimulation Foundations, Methods and Applications,$x2195-2825 311 08$aPrint version: Ören, Tuncer Body of Knowledge for Modeling and Simulation Cham : Springer International Publishing AG,c2023 9783031110849 320 $aIncludes bibliographical references and index. 327 $a1. Preliminary -- 2. M&S BOK Core Areas and the Big Picture -- 3. Simulation as Experimentation -- 4. Simulation as Experience to Enhance Three Types of Skills -- 5. Simulation Games (Simulation as Experience for Entertainment) -- 6. Infrastructure -- 7. Reliability and Quality Assurance of M&S -- 8. Ethics -- 9. Enterprise (Economics of M&S) -- 10. Maturity -- 11. Supporting Domains: Computers and Computation -- 12. Supporting Science Areas -- 13. Supporting Engineering Areas.-14. Supporting Social Science and Management Areas -- 15. Philosophy and Modelling and Simulation -- 16. History -- 17. Core Research Areas -- 18. Trends, Desirable Features, and Challenges. . 330 $aCommissioned by the Society for Modeling and Simulation International (SCS), this needed, useful new ?Body of Knowledge? (BoK) collects and organizes the common understanding of a wide collection of professionals and professional associations. Modeling and simulation (M&S) is a ubiquitous discipline that lays the computational foundation for real and virtual experimentation, clearly stating boundaries?and interactions?of systems, data, and representations. The field is well known, too, for its training support via simulations and simulators. Indeed, with computers increasingly influencing the activities of today?s world, M&S is the third pillar of scientific understanding, taking its place along with theory building and empirical observation. This valuable new handbook provides intellectual support for all disciplines in analysis, design and optimization. It contributes increasingly to the growing number of computational disciplines, addressing the broad variety of contributing as well as supported disciplines and application domains. Further, each of its sections provide numerous references for further information. Highly comprehensive, the BoK represents many viewpoints and facets, captured under such topics as: Mathematical and Systems Theory Foundations Simulation Formalisms and Paradigms Synergies with Systems Engineering and Artificial Intelligence Multidisciplinary Challenges Ethics and Philosophy Historical Perspectives Examining theoretical as well as practical challenges, this unique volume addresses the many facets of M&S for scholars, students, and practitioners. As such, it affords readers from all science, engineering, and arts disciplines a comprehensive and concise representation of concepts, terms, and activities needed to explain the M&S discipline. Under the leadership of three SCS Fellows, Dr. Ören, University of Ottawa, Dr. Zeigler, The University of Arizona, and Dr. Tolk, The MITRE Corporation, more than 50 international scholars from 15 countries provided insights and experience to compile this initial M&S Body of Knowledge. 410 0$aSimulation Foundations, Methods and Applications,$x2195-2825 606 $aModels and modelmaking 606 $aSimulation methods 615 0$aModels and modelmaking. 615 0$aSimulation methods. 676 $a745.5928 702 $aTolk$b Andreas 702 $aZeigler$b Bernard P. 702 $aO?ren$b Tuncer I. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996546841803316 996 $aBody of knowledge for modeling and simulation$93364024 997 $aUNISA