Modeling and Simulation Fundamentals: Theoretical Underpinnings and Practical Domains

by John A. Sokolowski, Catherine M. Banks

Overview

An 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 by leading experts in the field, the book's fluid presentation builds from topic to topic and provides the foundation and theoretical underpinnings of modeling and simulation. First, an introduction to the topic is presented, including related terminology, examples of model development, and various domains of modeling and simulation. Subsequent chapters develop the necessary mathematical background needed to understand modeling and simulation topics, model types, and the importance of visualization. In addition, Monte Carlo simulation, continuous simulation, and discrete event simulation are thoroughly discussed, all of which are significant to a complete understanding of modeling and simulation. The book also features chapters that outline sophisticated methodologies, verification and validation, and the importance of interoperability. A related FTP site features color representations of the book's numerous figures.

Modeling and Simulation Fundamentals encompasses a comprehensive study of the discipline and is an excellent book for modeling and simulation courses at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners in the fields of computational statistics, engineering, and computer science who use statistical modeling techniques.

Product Details

ISBN-13:	9780470486740
Publisher:	Wiley
Publication date:	04/19/2010
Pages:	464
Product dimensions:	6.40(w) x 9.40(h) x 1.10(d)

About the Author

JOHN A. SOKOLOWSKI, PhD, is Research Professor and Director of Research at the Virginia Modeling, Analysis and Simulation Center at Old Dominion University. He is the coeditor of Principles of Modeling and Simulation: A Multidisciplinary Approach and coauthor of Modeling and Simulation for Analyzing Global Events, both published by Wiley. Dr. Sokolowski currently focuses his research on computational modeling of human and social behavior.

CATHERINE M. BANKS, PhD, is Research Assistant Professor at the Virginia Modeling, Analysis and Simulation Center at Old Dominion University. She is the coeditor of Principles of Modeling and Simulation: A Multidisciplinary Approach and coauthor of Modeling and Simulation for Analyzing Global Events, both published by Wiley. Dr. Banks's current research interests include modeling states and their varied histories of revolution and insurgency, political economy and state volatility, and theoretical modeling concepts.

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Table of Contents

Preface xi

Contributors xiii

1 Introduction to Modeling and Simulation Catherine M. Banks 1

M&S 2

M&S Characteristics and Descriptors 12

M&S Categories 19

Conclusion 22

References 24

2 Statistical Concepts for Discrete Event Simulation Roland R. Mielke 25

Probability 26

Simulation Basics 35

Input Data Modeling 39

Output Data Analysis 48

Conclusion 56

References 56

3 Discrete-Event Simulation Rafael Diaz Joshua G. Behr 57

Queuing System Model Components 60

Simulation Methodology 62

DES Example 65

Hand Simulation-Spreadsheet Implementation 67

Arena Simulation 87

Conclusion 97

References 98

4 Modeling Continuous Systems Wesley N. Colley 99

System Class 100

Modeling and Simulation (M&S) Strategy 101

Modeling Approach 102

Model Examples 104

Simulating Continuous Systems 110

Simulation Implementation 118

Conclusion 128

References 129

5 Monte Carlo Simulation John A. Sokolowski 131

The Monte Carlo Method 132

Sensitivity Analysis 142

Conclusion 145

References 145

6 Systems Modeling: Analysis and Operations Research Frederic D. McKenzie 147

System Model Types 147

Modeling Methodologies and Tools 148

Analysis of Modeling and Simulation (M&S) 165

OR Methods 174

Conclusion 179

References 179

Further Readings 180

7 Visualization Yuzhong Shen 181

Computer Graphics Fundamentals 182

Visualization Software and Tools 208

Case Studies 217

Conclusion 223

References 224

8 M&S Methodologies: A Systems Approach to the Social Sciences Barry G. Silverman Gnana K. Bharathy Benjamin Nye G. Jiyun Kim Mark Roddy Mjumbe Foe 227

Simulating State and Substate Actors with CountrySim: Synthesizing Theories Across the Social Sciences 229

The CountrySim Application and Sociocultural Game Results 255

Conclusions and the Way Forward 265

References 268

9 Modeling Human Behavior Yiannis Papelis Poornima Madhavan 271

Behavioral Modeling at the Physical Level 273

Behavioral Modeling at the Tactical and Strategic Level 274

Techniques for Human Behavior Modeling 277

Human Factors 305

Human-Computer Interaction 308

Conclusion 320

References 321

10 Verification, Validation, and Accreditation Mikel D. Petty 325

Motivation 326

Background Definitions 326

VV&A Definitions 330

V&V as Comparisons 332

Performing VV&A 333

V&V Methods 340

VV&A Case Studies 354

Conclusion 365

Acknowledgments 368

References 368

11 An Introduction to Distributed Simulation Gabriel A. Wainer Khaldoon Al-Zoubi 373

Trends and Challenges of Distributed Simulation 374

A Brief History of Distributed Simulation 375

Synchronization Algorithms for Parallel and Distributed Simulation 37

Distributed Simulation Middleware 383

Conclusion 397

References 398

12 Interoperability and Composability Andreas Tolk 403

Defining Interoperability and Composability 405

Current Interoperability Standard Solutions 412

Engineering Methods Supporting Interoperation and Composition 428

Conclusion 430

Reference 431

Further Readings 433

Index 435

What People are Saying About This

From the Publisher

"This text provides a well-designed overview of M&S as a discipline useful for graduate students with engineering, mathematics or computer science background and for specialists interested in fundamental principles of M&S, its further development and applications." (Zentralblatt MATH, 2010)

Editorial Reviews

"This text provides a well-designed overview of M&S as a discipline useful for graduate students with engineering, mathematics or computer science background and for specialists interested in fundamental principles of M&S, its further development and applications." (Zentralblatt MATH, 2010)

From the Publisher