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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) provides a brief history of modeling and simulation, lists the many uses or applications of modeling and simulation, speaks to the advantages and disadvantages of using models in problem solving, and covers the two main reasons to employ modeling and simulation by solving a specific problem and using related applications to gain insight into complex concepts; Theoretical Underpinnings (Part Two) examines various modeling techniques, provides a definition for simulation and introduces the reader to two main simulation concepts (discrete event simulation and simulation of continuous systems), explains the two primary methods in which humans interface with simulations, and explains both verification and validation and why they are important; and Practical Domains (Part Three) delves into specific case studies related to transportation, business, medicine, and enterprise decision support, addresses the challenges of modeling and simulation by providing the basis for accepting modeling and simulation as a discipline with its own body of knowledge, research methods, and curriculum of study, and introduces advanced applied principles of modeling and simulation such as representation techniques, integration into the application infrastructure, and emerging technologies.
Preface.
Contributors.
Part One - Principles of Modeling and Simulation: A Multidisciplinary Approach.
Chapter 1: What is Modeling and Simulation?
Introduction.
Models: Approximations of Real World Events.
A Brief History of Modeling and Simulation.
Application Areas.
Using Modeling and Simulation: Advantages and Disadvantages.
Conclusion.
Key Terms.
Further Reading.
References.
Chapter 2: The Role of Modeling and Simulation.
Introduction.
Using Simulations to Solve Problems.
Uncertainty and Its Effects.
Gaining Insight.
A Simulation`s Lifetime.
Conclusion.
Key Terms.
Further Reading.
Part Two: Theoretical Underpinnings.
Chapter 3: Simulation: Models That Vary Over Time.
Introduction.
Discrete Event Simulation.
Continuous Simulation.
Conclusion.
Key Terms.
References.
Chapter 4: Queue Modeling and Simulation.
Introduction.
Analytical Solution.
Queuing Models.
Sequential Simulation.
SimPack Queuing Implementation.
Parallel Simulation.
Conclusion.
Key Terms.
Further Reading.
References.
Chapter 5: Human Interaction with Simulations.
Introduction.
Simulation and Data Dependency.
Visual Representation.
Conclusion.
Key Terms.
References.
Chapter 6: Verification and Validation.
Introduction.
Performing Verification and Validation.
Verification and Validation Examples.
Conclusion.
Key Terms.
References.
Part Three: Practical Domains.
Chapter 7: Uses of Simulation.
Introduction.
The Many Facets of Simulation.
Experimentation Aspect of Simulation.
Experience Aspect of Simulation.
Examples of Uses of Simulation.
Ethics in the Use of Simulation.
Some Excuses to Avoid Simulation.
Conclusion.
Key Terms.
Further Exploration.
References.
Appendix A-Simulation Associations/Groups/Research Centers.
Chapter 8: Modeling and Simulation: Real-World Examples.
Introduction.
Transportation.
Business M&S.
Medical M&S.
Social Science M&S.
Conclusion.
Key Terms.
Further Reading.
References.
Chapter 9: The Future of Simulation.
Introduction.
A Brief . . . and Selective . . . History of Simulation.
Convergent Simulations.
Serious Games.
Human-Simulator Interfaces.
Computing Technology.
The Role of Education in Simulation.
The Future of Simulation.
Index.ISBN - 9788126551538
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Pages : 276
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