Sokolowski / Banks Modeling and Simulation Fundamentals

Theoretical Underpinnings and Practical Domains
1. Auflage 2010
ISBN: 978-0-470-59061-4
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 464 Seiten, E-Book

An insightful presentation of the key concepts, paradigms, andapplications of modeling and simulation
Modeling and simulation has become an integral part of researchand development across many fields of study, having evolved from atool to a discipline in less than two decades. Modeling andSimulation Fundamentals offers a comprehensive andauthoritative treatment of the topic and includes definitions,paradigms, and applications to equip readers with the skills neededto work successfully as developers and users of modeling andsimulation.
Featuring contributions written by leading experts in the field,the book's fluid presentation builds from topic to topic andprovides the foundation and theoretical underpinnings of modelingand simulation. First, an introduction to the topic is presented,including related terminology, examples of model development, andvarious domains of modeling and simulation. Subsequent chaptersdevelop the necessary mathematical background needed to understandmodeling and simulation topics, model types, and the importance ofvisualization. In addition, Monte Carlo simulation, continuoussimulation, and discrete event simulation are thoroughly discussed,all of which are significant to a complete understanding ofmodeling and simulation. The book also features chapters thatoutline sophisticated methodologies, verification and validation,and the importance of interoperability. A related FTP site featurescolor representations of the book's numerous figures.
Modeling and Simulation Fundamentals encompasses acomprehensive study of the discipline and is an excellent book formodeling and simulation courses at the upper-undergraduate andgraduate levels. It is also a valuable reference for researchersand practitioners in the fields of computational statistics,engineering, and computer science who use statistical modelingtechniques.

Autoren/Hrsg.

Sokolowski, John A.

Banks, Catherine M.

Inhaltsverzeichnis

Preface.
Contributors.
1 Introduction to Modeling andSimulation (Catherine M. Banks).
M&S.
M&S Characteristics and Descriptors.
M&S Categories.
Conclusion.
References.
2 Statistical Concepts for Discrete EventSimulation (Roland R. Mielke).
Probability.
Simulation Basics.
Input Data Modeling.
Output Data Analysis.
Conclusion.
References.
3 Discrete-Event Simulation (Rafael Diaz andJoshua G. Behr).
Queuing System Model Components.
Simulation Methodology.
DES Example.
Hand Simulation--Spreadsheet Implementation.
Arena Simulation.
Conclusion.
References.
4 Modeling Continuous Systems (Wesley N.Colley).
System Class.
Modeling and Simulation (M&S) Strategy.
Modeling Approach.
Model Examples.
Simulating Continuous Systems.
Simulation Implementation.
Conclusion.
References.
5 Monte Carlo Simulation (John A.Sokolowski).
The Monte Carlo Method.
Sensitivity Analysis.
Conclusion.
References.
6 Systems Modeling: Analysis and OperationsResearch (Frederic D. McKenziei).
System Model Types.
Modeling Methodologies and Tools.
Analysis of Modeling and Simulation (M&S).
OR Methods.
Conclusion.
References.
Further Readings.
7 Visualization (Yuzhong Shen).
Computer Graphics Fundamentals.
Visualization Software and Tools.
Case Studies.
Conclusion.
References.
8 M&S Methodologies: A Systems Approach to the SocialSciences (Barry G. Silverman, Gnana K. Bharathy,Benjamin Nye, G. Jiyun Kim, Mark Roddy, and Mjumbe Poe).
Simulating 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 (Yiannis Papelis andPoornima Madhavan).
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 Verifi cation, Validation, andAccreditation (Mikel D. Petty).
Motivation.
Background Defi nitions.
VV&A Defi nitions.
V&V as Comparisons.
Performing VV&A.
V&V Methods.
VV&A Case Studies.
Conclusion.
Acknowledgments.
References.
11 An Introduction to DistributedSimulation (Gabriel A. Wainer and KhaldoonAl-Zoubi).
Trends and Challenges of Distributed Simulation.
A Brief History of Distributed Simulation.
Synchronization Algorithms for Parallel and DistributedSimulation.
Distributed Simulation Middleware.
Conclusion.
References.
12 Interoperability and Composability (AndreasTolk).
Defining Interoperability and Composability.
Current Interoperability Standard Solutions.
Engineering Methods Supporting Interoperation andComposition.
Conclusion.
References.
Further Readings.
Index.

Über Autor(innen)

JOHN A. SOKOLOWSKI, PhD, is Research Professor and Directorof Research at the Virginia Modeling, Analysis and SimulationCenter at Old Dominion University. He is the coeditor ofPrinciples of Modeling and Simulation: A MultidisciplinaryApproach and coauthor of Modeling and Simulation forAnalyzing Global Events, both published by Wiley. Dr.Sokolowski currently focuses his research on computational modelingof human and social behavior.
CATHERINE M. BANKS, PhD, is Research Assistant Professorat the Virginia Modeling, Analysis and Simulation Center at OldDominion University. She is the coeditor of Principles ofModeling and Simulation: A Multidisciplinary Approach andcoauthor of Modeling and Simulation for Analyzing GlobalEvents, both published by Wiley. Dr. Banks's current researchinterests include modeling states and their varied histories ofrevolution and insurgency, political economy and state volatility,and theoretical modeling concepts.