04742nam 2200625Ia 450 991087747140332120200520144314.01-282-70756-697866127075680-470-59062-90-470-59061-0(CKB)2670000000034227(EBL)564928(OCoLC)654787157(SSID)ssj0000423325(PQKBManifestationID)11291584(PQKBTitleCode)TC0000423325(PQKBWorkID)10439277(PQKB)10199291(MiAaPQ)EBC564928(EXLCZ)99267000000003422720090914d2010 uy 0engur|n|---|||||txtccrModeling and simulation fundamentals theoretical underpinnings and practical domains /edited by John A. Sokolowski, Catherine M. BanksHoboken, N.J. Wileyc20101 online resource (453 p.)Description based upon print version of record.0-470-48674-0 Includes bibliographical references and index.MODELING AND SIMULATION FUNDAMENTALS; CONTENTS; Preface; Contributors; 1 Introduction to Modeling and Simulation; M&S; M&S Characteristics and Descriptors; M&S Categories; Conclusion; References; 2 Statistical Concepts for Discrete Event Simulation; Probability; Simulation Basics; Input Data Modeling; Output Data Analysis; Conclusion; References; 3 Discrete-Event Simulation; Queuing System Model Components; Simulation Methodology; DES Example; Hand Simulation-Spreadsheet Implementation; Arena Simulation; Conclusion; References; 4 Modeling Continuous Systems; System ClassModeling and Simulation (M&S) StrategyModeling Approach; Model Examples; Simulating Continuous Systems; Simulation Implementation; Conclusion; References; 5 Monte Carlo Simulation; The Monte Carlo Method; Sensitivity Analysis; Conclusion; References; 6 Systems Modeling: Analysis and Operations Research; System Model Types; Modeling Methodologies and Tools; Analysis of Modeling and Simulation (M&S); OR Methods; Conclusion; References; Further Readings; 7 Visualization; Computer Graphics Fundamentals; Visualization Software and Tools; Case Studies; Conclusion; References8 M&S Methodologies: A Systems Approach to the Social SciencesSimulating State and Substate Actors with CountrySim: Synthesizing Theories Across the Social Sciences; The CountrySim Application and Sociocultural Game Results; Conclusions and the Way Forward; References; 9 Modeling Human Behavior; Behavioral Modeling at the Physical Level; Behavioral Modeling at the Tactical and Strategic Level; Techniques for Human Behavior Modeling; Human Factors; Human-Computer Interaction; Conclusion; References; 10 Verification, Validation, and Accreditation; Motivation; Background DefinitionsVV&A DefinitionsV&V as Comparisons; Performing VV&A; V&V Methods; VV&A Case Studies; Conclusion; Acknowledgments; References; 11 An Introduction to Distributed Simulation; Trends and Challenges of Distributed Simulation; A Brief History of Distributed Simulation; Synchronization Algorithms for Parallel and Distributed Simulation; Distributed Simulation Middleware; Conclusion; References; 12 Interoperability and Composability; Defining Interoperability and Composability; Current Interoperability Standard Solutions; Engineering Methods Supporting Interoperation and Composition; ConclusionReferencesFurther Readings; IndexAn insightful presentation of the key concepts, paradigms, and applications of modeling and simulation Modeling and simulation has become an integral part of research and development across many fields of study, having evolved from a tool to a discipline in less than two decades. Modeling and Simulation Fundamentals offers a comprehensive and authoritative treatment of the topic and includes definitions, paradigms, and applications to equip readers with the skills needed to work successfully as developers and users of modeling and simulation. Featuring contributions written bMathematical modelsMathematical optimizationSimulation methodsMathematical models.Mathematical optimization.Simulation methods.511/.8Sokolowski John A.1953-1630190Banks Catherine M.1960-1630191MiAaPQMiAaPQMiAaPQBOOK9910877471403321Modeling and simulation fundamentals4204003UNINA