Principles of Modeling and Simulation
A Multidisciplinary Approach
(Sprache: Englisch)
Explores wide ranging applications of modeling and simulation techniques that allow readers to conduct research and ask "What if??" Principles of Modeling and Simulation: A Multidisciplinary Approach is the first book to provide an introduction to modeling...
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Explores wide ranging applications of modeling and simulation techniques that allow readers to conduct research and ask "What if??" Principles of Modeling and Simulation: A Multidisciplinary Approach is the first book to provide an introduction to modeling and simulation techniques across diverse areas of study.
Klappentext zu „Principles of Modeling and Simulation “
Explores wide-ranging applications of modeling and simulation techniques that allow readers to conduct research and ask "What if??"Principles of Modeling and Simulation: A Multidisciplinary Approach is the first book to provide an introduction to modeling and simulation techniques across diverse areas of study. Numerous researchers from the fields of social science, engineering, computer science, and business have collaborated on this work to explore the multifaceted uses of computational modeling while illustrating their applications in common spreadsheets.
The book is organized into three succinct parts:
Principles of Modeling and Simulation provides a brief history of modeling and simulation, outlines its many functions, and explores the advantages and disadvantages of using models in problem solving. Two major reasons to employ modeling and simulation are illustrated through the study of a specific problem in conjunction with the use of related applications, thus gaining insight into complex concepts.
Theoretical Underpinnings examines various modeling techniques and introduces readers to two significant simulation concepts: discrete event simulation and simulation of continuous systems. This section details the two primary methods in which humans interface with simulations, and it also distinguishes the meaning, importance, and significance of verification and validation.
Practical Domains delves into specific topics related to transportation, business, medicine, social science, and enterprise decision support. The challenges of modeling and simulation are discussed, along with advanced applied principles of modeling and simulation such as representation techniques, integration into the application infrastructure, and emerging technologies.
With its accessible style and wealth of real-world examples, Principles of Modeling and Simulation: A Multidisciplinary Approach is a valuable book for modeling and
... mehr
simulation courses at the upper-undergraduate and graduate levels. It is also an indispensable reference for researchers and practitioners working in statistics, mathematics, engineering, computer science, economics, and the social sciences who would like to further develop their understanding and knowledge of the field.
... weniger
Explores wide-ranging applications of modeling and simulation techniques that allow readers to conduct research and ask "What if?"
Principles of Modeling and Simulation: A Multidisciplinary Approach is the first book to provide an introduction to modeling and simulation techniques across diverse areas of study. Numerous researchers from the fields of social science, engineering, computer science, and business have collaborated on this work to explore the multifaceted uses of computational modeling while illustrating their applications in common spreadsheets.
The book is organized into three succinct parts:
Principles of Modeling and Simulation provides a brief history of modeling and simulation, outlines its many functions, and explores the advantages and disadvantages of using models in problem solving. Two major reasons to employ modeling and simulation are illustrated through the study of a specific problem in conjunction with the use of related applications, thus gaining insight into complex concepts.
Theoretical Underpinnings examines various modeling techniques and introduces readers to two significant simulation concepts: discrete event simulation and simulation of continuous systems. This section details the two primary methods in which humans interface with simulations, and it also distinguishes the meaning, importance, and significance of verification and validation.
Practical Domains delves into specific topics related to transportation, business, medicine, social science, and enterprise decision support. The challenges of modeling and simulation are discussed, along with advanced applied principles of modeling and simulation such as representation techniques, integration into the application infrastructure, and emerging technologies.
With its accessible style and wealth of real-world examples, Principles of Modeling and Simulation: A Multidisciplinary Approach is a valuable book for modeling and simulation courses at the upper-undergraduate and graduate levels. It is also an indispensable reference for researchers and practitioners working in statistics, mathematics, engineering, computer science, economics, and the social sciences who would like to further develop their understanding and knowledge of the field.
Principles of Modeling and Simulation: A Multidisciplinary Approach is the first book to provide an introduction to modeling and simulation techniques across diverse areas of study. Numerous researchers from the fields of social science, engineering, computer science, and business have collaborated on this work to explore the multifaceted uses of computational modeling while illustrating their applications in common spreadsheets.
The book is organized into three succinct parts:
Principles of Modeling and Simulation provides a brief history of modeling and simulation, outlines its many functions, and explores the advantages and disadvantages of using models in problem solving. Two major reasons to employ modeling and simulation are illustrated through the study of a specific problem in conjunction with the use of related applications, thus gaining insight into complex concepts.
Theoretical Underpinnings examines various modeling techniques and introduces readers to two significant simulation concepts: discrete event simulation and simulation of continuous systems. This section details the two primary methods in which humans interface with simulations, and it also distinguishes the meaning, importance, and significance of verification and validation.
Practical Domains delves into specific topics related to transportation, business, medicine, social science, and enterprise decision support. The challenges of modeling and simulation are discussed, along with advanced applied principles of modeling and simulation such as representation techniques, integration into the application infrastructure, and emerging technologies.
With its accessible style and wealth of real-world examples, Principles of Modeling and Simulation: A Multidisciplinary Approach is a valuable book for modeling and simulation courses at the upper-undergraduate and graduate levels. It is also an indispensable reference for researchers and practitioners working in statistics, mathematics, engineering, computer science, economics, and the social sciences who would like to further develop their understanding and knowledge of the field.
Inhaltsverzeichnis zu „Principles of Modeling and Simulation “
ContributorsPreface
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
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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
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
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Autoren-Porträt von John A. Sokolowski
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.
Bibliographische Angaben
- Autor: John A. Sokolowski
- 2009, 1. Auflage, XIII, 259 Seiten, mit Abbildungen, Maße: 16 x 24,3 cm, Gebunden, Englisch
- Herausgegeben: Catherine M. Banks
- Verlag: Wiley & Sons
- ISBN-10: 0470289430
- ISBN-13: 9780470289433
- Erscheinungsdatum: 13.03.2009
Sprache:
Englisch
Pressezitat
"This work could supplement a graduate course on modeling and simulation (selected chapters could supplement an undergraduate course) and would be of interest to graduate students and professionals wishing to learn some of the basics of modeling and simulation." ( CHOICE , December 2009)
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