Modeling and Simulation Fundamentals

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.