Principles of Modeling and Simulation A

This book provides an introduction to the theory and applications of modeling and simulation with a multidisciplinary perspective, and the authors offer a concise look at the key concepts that make up the field of modeling and simulation. The book is organized into the following three parts: Principles of Modeling and Simulation (Part One); Theoretical Underpinnings (Part Two); and Practical Domains (Part Three).

John A. Sokolowski, PhD, is Research Professor and Director of Research at the Virginia Modeling, Analysis, and Simulation Center (VMASC) at Old Dominion University. He has authored numerous journal articles on the use of modeling and simulation techniques in the fields of engineering, computer science, and human behavior representation.

Catherine M. Banks, PhD, is Research Assistant Professor at the Virginia Modeling, Analysis, and Simulation Center (VMASC) at Old Dominion University. The author of many published articles on modeling and simulation, Dr. Banks currently focuses her research on modeling states and their varied histories of revolution and insurgency, political economy and state volatility, and global warming and population dynamics.

Preface	p. xi
Contributors	p. xiii
Principles of Modeling and Simulation: A Multidisciplinary Approach
What Is Modeling and Simulation?	p. 3
Introduction	p. 3
Models: Approximations of Real-World Events	p. 5
A Brief History of Modeling and Simulation	p. 7
Application Areas	p. 15
Using Modeling and Simulation: Advantages and Disadvantages	p. 21
Conclusion	p. 22
Key Terms	p. 23
Further Reading	p. 23
References	p. 23
The Role of Modeling and Simulation	p. 25
Introduction	p. 25
Using Simulations to Solve Problems	p. 26
Uncertainty and Its Effects	p. 34
Gaining Insight	p. 37
A Simulation's Lifetime	p. 40
Conclusion	p. 42
Key Terms	p. 42
Further Reading	p. 42
Theoretical Underpinnings
Simulation: Models That Vary over Time	p. 47
Introduction	p. 47
Discrete Event Simulation	p. 48
Continuous Simulation	p. 58
Conclusion	p. 69
Key Terms	p. 69
Reference	p. 69
Queue Modeling and Simulation	p. 71
Introduction	p. 71
Analytical Solution	p. 72
Queuing Models	p. 74
Sequential Simulation	p. 79
SimPack Queuing Implementation	p. 81
Parallel Simulation	p. 87
Conclusion	p. 88
Key Terms	p. 89
Further Reading	p. 89
References	p. 89
Human Interaction with Simulations	p. 91
Introduction	p. 91
Simulation and Data Dependency	p. 91
Visual Representation	p. 103
Conclusion	p. 116
Key Terms	p. 117
References	p. 117
Verification and Validation	p. 121
Introduction	p. 121
Performing Verification and Validation	p. 128
Verification and Validation Examples	p. 141
Conclusion	p. 147
Key Terms	p. 147
References	p. 147
Practical Domains
Uses of Simulation	p. 153
Introduction	p. 153
The Many Facets of Simulation	p. 154
Experimentation Aspect of Simulation	p. 156
Experience Aspect of Simulation	p. 159
Examples of Uses of Simulation	p. 160
Ethics in the Use of Simulation	p. 170
Some Excuses to Avoid Using Simulation	p. 170
Conclusion	p. 171
Key Terms	p. 171
Further Exploration	p. 171
Simulation Associations/Groups/Research Centers	p. 172
References	p. 178
Modeling and Simulation: Real-World Examples	p. 181
Introduction	p. 181
Transportation Modeling and Simulation	p. 181
Business Modeling and Simulation	p. 198
Medical Modeling and Simulation	p. 209
Social Science Modeling and Simulation	p. 230
Conclusion	p. 241
Key Terms	p. 242
Further Reading	p. 242
References	p. 242
The Future of Simulation	p. 247
Introduction	p. 247
A Brief . . . and Selective . . . History of Simulation	p. 248
Convergent Simulations	p. 249
Serious Games	p. 249
Human-Simulator Interfaces	p. 250
Computing Technology	p. 253
The Role of Education in Simulation	p. 253
The Future of Simulation	p. 254
Key Terms	p. 255
Index	p. 257
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Principles of Modeling and Simulation A Multidisciplinary Approach

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