Modeling and Simulation Fundamentals Theoretical Underpinnings and Practical Domains

by Sokolowski, John A.; Banks, Catherine M.

• ISBN13: 9780470486740
• ISBN10: 0470486740
• Edition: 1st
• Format: Hardcover
• Copyright: 2010-04-19
• Publisher: Wiley

Summary

The field of modeling and simulation is expanding as interest in the discipline and its applications increase. This book discusses definitions, paradigms, applications, and sub-disciplines as a way of detailing and reviewing the field of modeling and simulation. It provides an incisive analysis of the key concepts, body of knowledge, and practical applications, including chapters on Verification, Validation, and Accreditation (VV&A) as well as Visualization, which are crucial elements not seen in many texts. Graduate students and professionals in statistics, mathematics, engineering, and computer science will be prepared to use modeling and simulation in their studies and research.

Author Biography

John A. Sokolowski 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 is Research Assistant Professor at the Virginia Modeling, Analysis and Simulation Center at Old Dominion University. She is the co-editor 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.

Table of Contents

Preface	p. xi
Contributors	p. xiii
Introduction to Modeling and Simulation	p. 1
M&S	p. 2
M&S Characteristics and Descriptors	p. 12
M&S Categories	p. 19
Conclusion	p. 22
References	p. 24
Statistical Concepts for Discrete Event Simulation	p. 25
Probability	p. 26
Simulation Basics	p. 35
Input Data Modeling	p. 39
Output Data Analysis	p. 48
Conclusion	p. 56
References	p. 56
Discrete-Event Simulation	p. 57
Queuing System Model Components	p. 60
Simulation Methodology	p. 62
DES Example	p. 65
Hand Simulation-Spreadsheet Implementation	p. 67
Arena Simulation	p. 87
Conclusion	p. 97
References	p. 98
Modeling Continuous Systems	p. 99
System Class	p. 100
Modeling and Simulation (M&S) Strategy	p. 101
Modeling Approach	p. 102
Model Examples	p. 104
Simulating Continuous Systems	p. 110
Simulation Implementation	p. 118
Conclusion	p. 128
References	p. 129
Monte Carlo Simulation	p. 131
The Monte Carlo Method	p. 132
Sensitivity Analysis	p. 142
Conclusion	p. 145
References	p. 145
Systems Modeling: Analysis and Operations Research	p. 147
System Model Types	p. 147
Modeling Methodologies and Tools	p. 148
Analysis of Modeling and Simulation (M&S)	p. 165
OR Methods	p. 174
Conclusion	p. 179
References	p. 179
Further Readings	p. 180
Visualization	p. 181
Computer Graphics Fundamentals	p. 182
Visualization Software and Tools	p. 208
Case Studies	p. 217
Conclusion	p. 223
References	p. 224
M&S Methodologies: A Systems Approach to the Social Sciences	p. 227
Simulating State and Substate Actors with CountrySim: Synthesizing Theories Across the Social Sciences	p. 229
The CountrySim Application and Sociocultural	p. 255
Conclusions and the Way Forward	p. 265
References	p. 268
Modeling Human Behavior	p. 271
Behavioral Modeling at the Physical Level	p. 273
Behavioral Modeling at the Tactical and Strategic Level	p. 274
Techniques for Human Behavior Modeling	p. 277
Human Factors	p. 305
Human-Computer Interaction	p. 308
Conclusion	p. 320
References	p. 321
Verification, Validation, and Accreditation	p. 325
Motivation	p. 326
Background Definitions	p. 326
VV&A Definitions	p. 330
V&V as Comparisons	p. 332
Performing VV&A	p. 333
V&V Methods	p. 340
VV&A Case Studies	p. 354
Conclusion	p. 365
Acknowledgments	p. 368
References	p. 368
An Introduction to Distributed Simulation	p. 373
Trends and Challenges of Distributed Simulation	p. 374
A Brief History of Distributed Simulation	p. 375
Synchronization Algorithms for Parallel and Distributed Simulation	p. 37
Distributed Simulation Middleware	p. 383
Conclusion	p. 397
References	p. 398
Interoperability and Composability	p. 403
Defining Interoperability and Composability	p. 405
Current Interoperability Standard Solutions	p. 412
Engineering Methods Supporting Interoperation and Composition	p. 428
Conclusion	p. 430
Reference	p. 431
Further Readings	p. 433
Index	p. 435
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