Principles of Modeling and Simulation
A Multidisciplinary Approach
Published on 20. September 2011
280 pages
978-1-118-21094-9 (ISBN)
Description
Explores wide-ranging applications of modeling and simulationtechniques that allow readers to conduct research and ask "Whatif??"
Principles of Modeling and Simulation: A MultidisciplinaryApproach is the first book to provide an introduction tomodeling and simulation techniques across diverse areas of study.Numerous researchers from the fields of social science,engineering, computer science, and business have collaborated onthis work to explore the multifaceted uses of computationalmodeling while illustrating their applications in commonspreadsheets.
The book is organized into three succinct parts:
Principles of Modeling and Simulation provides a briefhistory of modeling and simulation, outlines its many functions,and explores the advantages and disadvantages of using models inproblem solving. Two major reasons to employ modeling andsimulation are illustrated through the study of a specific problemin conjunction with the use of related applications, thus gaininginsight into complex concepts.
Theoretical Underpinnings examines various modelingtechniques and introduces readers to two significant simulationconcepts: discrete event simulation and simulation of continuoussystems. This section details the two primary methods in whichhumans interface with simulations, and it also distinguishes themeaning, importance, and significance of verification andvalidation.
Practical Domains delves into specific topics related totransportation, business, medicine, social science, and enterprisedecision support. The challenges of modeling and simulation arediscussed, along with advanced applied principles of modeling andsimulation such as representation techniques, integration into theapplication infrastructure, and emerging technologies.
With its accessible style and wealth of real-world examples,Principles of Modeling and Simulation: A MultidisciplinaryApproach is a valuable book for modeling and simulation coursesat the upper-undergraduate and graduate levels. It is also anindispensable reference for researchers and practitioners workingin statistics, mathematics, engineering, computer science,economics, and the social sciences who would like to furtherdevelop their understanding and knowledge of the field.
Reviews / Votes
"This work could supplement a graduate course on modeling andsimulation (selected chapters could supplement an undergraduatecourse) and would be of interest to graduate students andprofessionals wishing to learn some of the basics of modeling andsimulation." (CHOICE, December 2009)More details
Other editions
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John A. Sokolowski | Catherine M. Banks
Principles of Modeling and Simulation - A iplinary Approach
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04/2009
Wiley
€175.05
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John A. Sokolowski | Catherine M. Banks
Principles of Modeling and Simulation
A Multidisciplinary Approach
Book
03/2009
Wiley
€126.50
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Persons
John A. Sokolowski, PhD, is Research Professor and Directorof Research at the Virginia Modeling, Analysis, and SimulationCenter (VMASC) at Old Dominion University. He has authored numerousjournal articles on the use of modeling and simulation techniquesin the fields of engineering, computer science, and human behaviorrepresentation.
Catherine M. Banks, PhD, is Research Assistant Professorat the Virginia Modeling, Analysis, and Simulation Center (VMASC)at Old Dominion University. The author of many published articleson modeling and simulation, Dr. Banks currently focuses herresearch on modeling states and their varied histories ofrevolution and insurgency, political economy and state volatility,and global warming and population dynamics.
Content
Preface.
Contributors.
PART ONE: PRINCIPLES OF MODELING AND SIMULATION: AMULTIDISCIPLINARY 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-WORLDEXAMPLES.
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.
