Modeling and Simulation Fundamentals (eBook)

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.

Preface.

Contributors.

1 Introduction to Modeling and
Simulation (Catherine M. Banks).

M&S.

M&S Characteristics and Descriptors.

M&S Categories.

Conclusion.

References.

2 Statistical Concepts for Discrete Event
Simulation (Roland R. Mielke).

Probability.

Simulation Basics.

Input Data Modeling.

Output Data Analysis.

Conclusion.

References.

3 Discrete-Event Simulation (Rafael Diaz and
Joshua 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 Operations
Research (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 Social
Sciences (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 and
Poornima 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, and
Accreditation (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 Distributed
Simulation (Gabriel A. Wainer and Khaldoon
Al-Zoubi).

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 (Andreas
Tolk).

Defining Interoperability and Composability.

Current Interoperability Standard Solutions.

Engineering Methods Supporting Interoperation and
Composition.

Conclusion.

References.

Further Readings.

Index.

"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)