Modeling and Simulation Fundamentals: Theoretical Underpinnings and Practical Domains

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An insightful presentation of the key concepts, paradigms, andapplications of modeling and simulation

Modeling and simulation has become an integral part of researchand development across many fields of study, having evolved from atool to a discipline in less than two decades. Modeling andSimulation Fundamentals offers a comprehensive andauthoritative treatment of the topic and includes definitions,paradigms, and applications to equip readers with the skills neededto work successfully as developers and users of modeling andsimulation.

Featuring contributions written by leading experts in the field,the book's fluid presentation builds from topic to topic andprovides the foundation and theoretical underpinnings of modelingand simulation. First, an introduction to the topic is presented,including related terminology, examples of model development, andvarious domains of modeling and simulation. Subsequent chaptersdevelop the necessary mathematical background needed to understandmodeling and simulation topics, model types, and the importance ofvisualization. In addition, Monte Carlo simulation, continuoussimulation, and discrete event simulation are thoroughly discussed,all of which are significant to a complete understanding ofmodeling and simulation. The book also features chapters thatoutline sophisticated methodologies, verification and validation,and the importance of interoperability. A related FTP site featurescolor representations of the book's numerous figures.

Modeling and Simulation Fundamentals encompasses acomprehensive study of the discipline and is an excellent book formodeling and simulation courses at the upper-undergraduate andgraduate levels. It is also a valuable reference for researchersand practitioners in the fields of computational statistics,engineering, and computer science who use statistical modelingtechniques.

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About the author

JOHN A. SOKOLOWSKI, PhD, is Research Professor and Directorof Research at the Virginia Modeling, Analysis and SimulationCenter at Old Dominion University. He is the coeditor ofPrinciples of Modeling and Simulation: A MultidisciplinaryApproach and coauthor of Modeling and Simulation forAnalyzing Global Events, both published by Wiley. Dr.Sokolowski currently focuses his research on computational modelingof human and social behavior.

CATHERINE M. BANKS, PhD, is Research Assistant Professorat the Virginia Modeling, Analysis and Simulation Center at OldDominion University. She is the coeditor of Principles ofModeling and Simulation: A Multidisciplinary Approach andcoauthor of Modeling and Simulation for Analyzing GlobalEvents, both published by Wiley. Dr. Banks's current researchinterests include modeling states and their varied histories ofrevolution and insurgency, political economy and state volatility,and theoretical modeling concepts.

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Additional Information

Publisher
John Wiley & Sons
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Published on
Jul 13, 2010
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Pages
456
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ISBN
9780470590614
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Best For
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Language
English
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Genres
Mathematics / Probability & Statistics / General
Mathematics / Probability & Statistics / Stochastic Processes
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Content Protection
This content is DRM protected.
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one-of-a-kind introduction to the theory and application ofmodeling and simulation techniques in the realm of internationalstudies

Modeling and Simulation for Analyzing Global Eventsprovides an orientation to the theory and application of modelingand simulation techniques in social science disciplines. This bookguides readers in developing quantitative and numericrepresentations of real-world events based on qualitative analysis.With an emphasis on gathering and mapping empirical data, theauthors detail the steps needed for accurately analyzing globalevents and outline the selection and construction of the best modelfor understanding the event¿s data.

Providing a theoretical foundation while also illustratingmodern examples, the book contains three parts:

Advancing Global Studies—introduces the what,when, and why of modeling and simulation and also explores itsbrief history, various uses, and some of the advantages anddisadvantages of modeling and simulation in problem solving. Inaddition, the differences in qualitative and quantitative researchmethods, mapping data, and conducting model validation are alsodiscussed.Modeling Paradigms—examines various methods ofmodeling including system dynamics, agent-based modeling, socialnetwork modeling, and game theory. This section also explores thetheory and construction of these modeling paradigms, thefundamentals for their application, and various contexts for theiruse.Modeling Global Events—applies the modelingparadigms to four real-world events that are representative ofseveral fundamental areas of social science studies: internalcommotion within an anarchic state, a multi-layered study of theSolidarity movement in Poland, uni-lateral military intervention,and the issue of compellence and deterrence during a nationalsecurity crisis.

Modeling and Simulation for Analyzing Global Events is anexcellent book for statistics, engineering, computer science,economics, and social sciences courses on modeling and simulationat the upper-undergraduate and graduate levels. It is also aninsightful reference for professionals who would like to developmodeling and simulation skills for analyzing and communicatinghuman behavior observed in real-world events and complex globalcase studies.

Emphasizes a hands-on approach to learning statistical analysis and model building through the use of comprehensive examples, problems sets, and software applications

With a unique blend of theory and applications, Simulation Modeling and Arena®, Second Edition integrates coverage of statistical analysis and model building to emphasize the importance of both topics in simulation. Featuring introductory coverage on how simulation works and why it matters, the Second Edition expands coverage on static simulation and the applications of spreadsheets to perform simulation.

The new edition also introduces the use of the open source statistical package, R, for both performing statistical testing and fitting distributions. In addition, the models are presented in a clear and precise pseudo-code form, which aids in understanding and model communication. Simulation Modeling and Arena, Second Edition also features:

Updated coverage of necessary statistical modeling concepts such as confidence interval construction, hypothesis testing, and parameter estimationAdditional examples of the simulation clock within discrete event simulation modeling involving the mechanics of time advancement by hand simulationA guide to the Arena Run Controller, which features a debugging scenarioNew homework problems that cover a wider range of engineering applications in transportation, logistics, healthcare, and computer scienceA related website with an Instructor’s Solutions Manual, PowerPoint® slides, test bank questions, and data sets for each chapter

Simulation Modeling and Arena, Second Edition is an ideal textbook for upper-undergraduate and graduate courses in modeling and simulation within statistics, mathematics, industrial and civil engineering, construction management, business, computer science, and other departments where simulation is practiced. The book is also an excellent reference for professionals interested in mathematical modeling, simulation, and Arena.

This edited book is divided into three parts: Fundamentals ofMedical and Health Sciences Modeling and Simulation introducesmodeling and simulation in the medical and health sciences; Medicaland Health Sciences Models provides the theoretical underpinningsof medical and health sciences modeling; and Modeling andSimulation Applications in Medical and Health Sciences focuses onteaching, training, and research applications.  The bookbegins with a general discussion of modeling andsimulation from the modeling and simulation disciplineperspective. This discussion grounds the reader in commonterminology.  It also relates this terminology to conceptsfound in the medical and health care (MHC) area to help bridge thegap between developers and MHC practitioners. Three distinct modesof modeling and simulation are described: live, constructive, andvirtual.  The live approach explains the concept of using real(live) people employing real equipment for training purposes. The constructive mode is a means of engaging medicalmodeling and simulation.  In constructive simulation,simulated people and simulated equipment are developed to augmentreal-world conditions for training or experimentationpurposes.  The virtual mode is perhaps the most fascinating asvirtual operating rooms and synthetic training environments arebeing produced for practitioners and educators at break-neckspeed.  In this mode, real people are employing simulatedequipment to improve physical skills and decision-making ability.
Introduces various modeling and simulation methods and paradigms that are used to explain and solve the predominant challenges facing society

Handbook of Real-World Applications in Modeling and Simulation provides a thorough explanation of modeling and simulation in the most useful, current, and predominant applied areas of transportation, homeland security, medicine, operational research, military science, and business modeling. Offering a cutting-edge and accessible presentation, this book discusses how and why the presented domains have become leading applications of modeling and simulation techniques.

Contributions from leading academics and researchers integrate modeling and simulation theories, methods, and data to analyze challenges that involve technological and social issues. The book begins with an introduction that explains why modeling and simulation is a reliable analysis assessment tool for complex systems problems. Subsequent chapters provide an orientation to various modeling and simulation methods and paradigms that are used to explain and solve the predominant challenges across real-world applied domains. Additionally, the handbook:

Provides a practical one-stop reference on modeling and simulation and contains an accessible introduction to key concepts and techniques

Introduces, trains, and prepares readers from statistics, mathematics, engineering, computer science, economics, and business to use modeling and simulation in their studies and research

Features case studies that are representative of fundamental areas of multidisciplinary studies and provides a concise look at the key concepts of modeling and simulation

Contains a collection of original ideas on modeling and simulation to help academics and practitioners develop a multifunctional perspective

Self-contained chapters offer a comprehensive approach to explaining each respective domain and include sections that explore the related history, theory, modeling paradigms, and case studies. Key terms and techniques are clearly outlined, and exercise sets allow readers to test their comprehension of the presented material.

Handbook of Real-World Applications in Modeling and Simulation is an essential reference for academics and practitioners in the areas of operations research, business, management science, engineering, statistics, mathematics, and computer science. The handbook is also a suitable supplement for courses on modeling and simulation at the graduate level.

A modern guide to computational models and constructive simulation for personalized patient care using the Digital Patient

The healthcare industry’s emphasis is shifting from merely reacting to disease to preventing disease and promoting wellness. Addressing one of the more hopeful Big Data undertakings, The Digital Patient: Advancing Healthcare, Research, and Education presents a timely resource on the construction and deployment of the Digital Patient and its effects on healthcare, research, and education. The Digital Patient will not be constructed based solely on new information from all the “omics” fields; it also includes systems analysis, Big Data, and the various efforts to model the human physiome and represent it virtually. The Digital Patient will be realized through the purposeful collaboration of patients as well as scientific, clinical, and policy researchers.

The Digital Patient: Advancing Healthcare, Research, and Education addresses the international research efforts that are leading to the development of the Digital Patient, the wealth of ongoing research in systems biology and multiscale simulation, and the imminent applications within the domain of personalized healthcare. Chapter coverage includes:

The visible humanThe physiological humanThe virtual humanResearch in systems biologyMulti-scale modelingPersonalized medicineSelf-quantificationVisualizationComputational modelingInterdisciplinary collaboration

The Digital Patient: Advancing Healthcare, Research, and Education is a useful reference for simulation professionals such as clinicians, medical directors, managers, simulation technologists, faculty members, and educators involved in research and development in the life sciences, physical sciences, and engineering. The book is also an ideal supplement for graduate-level courses related to human modeling, simulation, and visualization.

A modern guide to computational models and constructive simulation for personalized patient care using the Digital Patient

The healthcare industry’s emphasis is shifting from merely reacting to disease to preventing disease and promoting wellness. Addressing one of the more hopeful Big Data undertakings, The Digital Patient: Advancing Healthcare, Research, and Education presents a timely resource on the construction and deployment of the Digital Patient and its effects on healthcare, research, and education. The Digital Patient will not be constructed based solely on new information from all the “omics” fields; it also includes systems analysis, Big Data, and the various efforts to model the human physiome and represent it virtually. The Digital Patient will be realized through the purposeful collaboration of patients as well as scientific, clinical, and policy researchers.

The Digital Patient: Advancing Healthcare, Research, and Education addresses the international research efforts that are leading to the development of the Digital Patient, the wealth of ongoing research in systems biology and multiscale simulation, and the imminent applications within the domain of personalized healthcare. Chapter coverage includes:

The visible humanThe physiological humanThe virtual humanResearch in systems biologyMulti-scale modelingPersonalized medicineSelf-quantificationVisualizationComputational modelingInterdisciplinary collaboration

The Digital Patient: Advancing Healthcare, Research, and Education is a useful reference for simulation professionals such as clinicians, medical directors, managers, simulation technologists, faculty members, and educators involved in research and development in the life sciences, physical sciences, and engineering. The book is also an ideal supplement for graduate-level courses related to human modeling, simulation, and visualization.

This edited book is divided into three parts: Fundamentals ofMedical and Health Sciences Modeling and Simulation introducesmodeling and simulation in the medical and health sciences; Medicaland Health Sciences Models provides the theoretical underpinningsof medical and health sciences modeling; and Modeling andSimulation Applications in Medical and Health Sciences focuses onteaching, training, and research applications.  The bookbegins with a general discussion of modeling andsimulation from the modeling and simulation disciplineperspective. This discussion grounds the reader in commonterminology.  It also relates this terminology to conceptsfound in the medical and health care (MHC) area to help bridge thegap between developers and MHC practitioners. Three distinct modesof modeling and simulation are described: live, constructive, andvirtual.  The live approach explains the concept of using real(live) people employing real equipment for training purposes. The constructive mode is a means of engaging medicalmodeling and simulation.  In constructive simulation,simulated people and simulated equipment are developed to augmentreal-world conditions for training or experimentationpurposes.  The virtual mode is perhaps the most fascinating asvirtual operating rooms and synthetic training environments arebeing produced for practitioners and educators at break-neckspeed.  In this mode, real people are employing simulatedequipment to improve physical skills and decision-making ability.
one-of-a-kind introduction to the theory and application ofmodeling and simulation techniques in the realm of internationalstudies

Modeling and Simulation for Analyzing Global Eventsprovides an orientation to the theory and application of modelingand simulation techniques in social science disciplines. This bookguides readers in developing quantitative and numericrepresentations of real-world events based on qualitative analysis.With an emphasis on gathering and mapping empirical data, theauthors detail the steps needed for accurately analyzing globalevents and outline the selection and construction of the best modelfor understanding the event¿s data.

Providing a theoretical foundation while also illustratingmodern examples, the book contains three parts:

Advancing Global Studies—introduces the what,when, and why of modeling and simulation and also explores itsbrief history, various uses, and some of the advantages anddisadvantages of modeling and simulation in problem solving. Inaddition, the differences in qualitative and quantitative researchmethods, mapping data, and conducting model validation are alsodiscussed.Modeling Paradigms—examines various methods ofmodeling including system dynamics, agent-based modeling, socialnetwork modeling, and game theory. This section also explores thetheory and construction of these modeling paradigms, thefundamentals for their application, and various contexts for theiruse.Modeling Global Events—applies the modelingparadigms to four real-world events that are representative ofseveral fundamental areas of social science studies: internalcommotion within an anarchic state, a multi-layered study of theSolidarity movement in Poland, uni-lateral military intervention,and the issue of compellence and deterrence during a nationalsecurity crisis.

Modeling and Simulation for Analyzing Global Events is anexcellent book for statistics, engineering, computer science,economics, and social sciences courses on modeling and simulationat the upper-undergraduate and graduate levels. It is also aninsightful reference for professionals who would like to developmodeling and simulation skills for analyzing and communicatinghuman behavior observed in real-world events and complex globalcase studies.

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