{"product_id":"principles-of-modeling-and-simulation-isbn-9780470289433","title":"Principles of Modeling and Simulation","description":"\u003cb\u003eExplores wide-ranging applications of modeling and simulation techniques that allow readers to conduct research and ask \"What if?\"\u003c\/b\u003e \u003cp\u003e\u003ci\u003ePrinciples of Modeling and Simulation: A Multidisciplinary Approach\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eThe book is organized into three succinct parts:\u003c\/p\u003e \u003cp\u003e\u003ci\u003ePrinciples of Modeling and Simulation\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eTheoretical Underpinnings\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003e\u003ci\u003ePractical Domains\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eWith its accessible style and wealth of real-world examples, Principles \u003ci\u003eof Modeling and Simulation: A Multidisciplinary Approach\u003c\/i\u003e 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.\u003c\/p\u003e  Preface.  \u003cp\u003eContributors.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART ONE: PRINCIPLES OF MODELING AND SIMULATION: A MULTIDISCIPLINARY APPROACH.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1: What is Modeling and Simulation?\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eModels: Approximations of Real World Events.\u003c\/p\u003e \u003cp\u003eA Brief History of Modeling and Simulation.\u003c\/p\u003e \u003cp\u003eApplication Areas.\u003c\/p\u003e \u003cp\u003eUsing Modeling and Simulation: Advantages and Disadvantages.\u003c\/p\u003e \u003cp\u003eConclusion.\u003c\/p\u003e \u003cp\u003eKey Terms.\u003c\/p\u003e \u003cp\u003eFurther Reading.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2: The Role of Modeling and Simulation.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eUsing Simulations to Solve Problems.\u003c\/p\u003e \u003cp\u003eUncertainty and Its Effects.\u003c\/p\u003e \u003cp\u003eGaining Insight.\u003c\/p\u003e \u003cp\u003eA Simulation’s Lifetime.\u003c\/p\u003e \u003cp\u003eConclusion.\u003c\/p\u003e \u003cp\u003eKey Terms.\u003c\/p\u003e \u003cp\u003eFurther Reading.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART TWO: THEORETICAL UNDERPINNINGS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3: Simulation: Models That Vary Over Time.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eDiscrete Event Simulation.\u003c\/p\u003e \u003cp\u003eContinuous Simulation.\u003c\/p\u003e \u003cp\u003eConclusion.\u003c\/p\u003e \u003cp\u003eKey Terms.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4: Queue Modeling and Simulation.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eAnalytical Solution.\u003c\/p\u003e \u003cp\u003eQueuing Models.\u003c\/p\u003e \u003cp\u003eSequential Simulation.\u003c\/p\u003e \u003cp\u003eSimPack Queuing Implementation.\u003c\/p\u003e \u003cp\u003eParallel Simulation.\u003c\/p\u003e \u003cp\u003eConclusion.\u003c\/p\u003e \u003cp\u003eKey Terms.\u003c\/p\u003e \u003cp\u003eFurther Reading.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5: Human Interaction with Simulations.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eSimulation and Data Dependency.\u003c\/p\u003e \u003cp\u003eVisual Representation.\u003c\/p\u003e \u003cp\u003eConclusion.\u003c\/p\u003e \u003cp\u003eKey Terms.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6: Verification and Validation.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003ePerforming Verification and Validation.\u003c\/p\u003e \u003cp\u003eVerification and Validation Examples.\u003c\/p\u003e \u003cp\u003eConclusion.\u003c\/p\u003e \u003cp\u003eKey Terms.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART THREE: PRACTICAL DOMAINS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7: Uses of Simulation.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eThe Many Facets of Simulation.\u003c\/p\u003e \u003cp\u003eExperimentation Aspect of Simulation.\u003c\/p\u003e \u003cp\u003eExperience Aspect of Simulation.\u003c\/p\u003e \u003cp\u003eExamples of Uses of Simulation.\u003c\/p\u003e \u003cp\u003eEthics in the Use of Simulation.\u003c\/p\u003e \u003cp\u003eSome Excuses to Avoid Simulation.\u003c\/p\u003e \u003cp\u003eConclusion.\u003c\/p\u003e \u003cp\u003eKey Terms.\u003c\/p\u003e \u003cp\u003eFurther Exploration.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eAppendix A-Simulation Associations\/Groups\/Research Centers.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eCHAPTER 8: MODELING AND SIMULATION: REAL-WORLD EXAMPLES.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eTransportation.\u003c\/p\u003e \u003cp\u003eBusiness M\u0026amp;S.\u003c\/p\u003e \u003cp\u003eMedical M\u0026amp;S.\u003c\/p\u003e \u003cp\u003eSocial Science M\u0026amp;S.\u003c\/p\u003e \u003cp\u003eConclusion.\u003c\/p\u003e \u003cp\u003eKey Terms.\u003c\/p\u003e \u003cp\u003eFurther Reading.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9: The Future of Simulation.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eA Brief . . . and Selective . . . History of Simulation.\u003c\/p\u003e \u003cp\u003eConvergent Simulations.\u003c\/p\u003e \u003cp\u003eSerious Games.\u003c\/p\u003e \u003cp\u003eHuman-Simulator Interfaces.\u003c\/p\u003e \u003cp\u003eComputing Technology.\u003c\/p\u003e \u003cp\u003eThe Role of Education in Simulation.\u003c\/p\u003e \u003cp\u003eThe Future of Simulation.\u003c\/p\u003e \u003cp\u003eIndex.\u003c\/p\u003e  \"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.\" (\u003ci\u003eCHOICE\u003c\/i\u003e, December 2009)\u003cbr\u003e \u003cbr\u003e  \u003cb\u003eJohn A. Sokolowski\u003c\/b\u003e, 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.  \u003cp\u003e\u003cb\u003eCatherine M. Banks\u003c\/b\u003e, 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.\u003c\/p\u003e  Explores wide-ranging applications of modeling and simulation techniques that allow readers to conduct research and ask \"What if??\"  \u003cp\u003e\u003ci\u003ePrinciples of Modeling and Simulation: A Multidisciplinary Approach\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eThe book is organized into three succinct parts:\u003c\/p\u003e \u003cp\u003e\u003ci\u003ePrinciples of Modeling and Simulation\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eTheoretical Underpinnings\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003e\u003ci\u003ePractical Domains\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eWith its accessible style and wealth of real-world examples, Principles \u003ci\u003eof Modeling and Simulation: A Multidisciplinary Approach\u003c\/i\u003e 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.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989853323493,"sku":"NP9780470289433","price":136.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470289433.jpg?v=1761785680","url":"https:\/\/k12savings.com\/products\/principles-of-modeling-and-simulation-isbn-9780470289433","provider":"K12savings","version":"1.0","type":"link"}