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This invaluable text/reference reviews the state of the art in simulation-based approaches across a wide range of different disciplines, and provides evidence of using simulation-based approaches to advance these disciplines. Highlighting the benefits that simulation can bring to any field, the volume presents case studies by the leading experts from such diverse domains as the life sciences, engineering, architecture, arts, and social sciences. Topics and features: Includes review questions at the end of every chapter Provides a broad overview of the evolution of the concept of simulation, stressing its importance across numerous sectors and disciplines Addresses the role of simulation in engineering design, and emphasizes the benefits of integrating simulation into the systems engineering paradigm Explains the relation of simulation with Cyber-Physical Systems and the Internet of Things, and describes a simulation infrastructure for complex adaptive systems Investigates how simulation is used in the Software Design Life Cycle to assess complex solutions, and examines the use of simulation in architectural design Reviews the function and purpose of simulation within the context of the scientific method, and its contribution to healthcare and health education training Discusses the position of simulation in research in the social sciences, and describes the simulation of service systems for simulation-based enterprise management Describes the role of simulation in learning and education, as well as in in military training With its near-exhaustive coverage of disciplines, this comprehensive collection is essential reading for all researchers, practitioners and students seeking insights into the use of various modeling paradigms and the need for robust simulation infrastructure to advance their field into a computational future.

Computer science. --- Computer simulation. --- Application software. --- Bioinformatics. --- Computational biology. --- Engineering design. --- Computer Science. --- Simulation and Modeling. --- Computer Appl. in Social and Behavioral Sciences. --- Engineering Design. --- Computer Appl. in Life Sciences. --- Simulation methods. --- Simulation techniques --- System simulation --- Operations research --- Systems engineering --- Models and modelmaking --- Social sciences --- Biology --- Data processing. --- Design, Engineering --- Engineering --- Industrial design --- Strains and stresses --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Design --- Bioinformatics . --- Computational biology . --- Bioinformatics --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Data processing --- Computer Modelling. --- Computer Application in Social and Behavioral Sciences. --- Computational and Systems Biology.

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This invaluable text/reference reviews the state of the art in simulation-based approaches across a wide range of different disciplines, and provides evidence of using simulation-based approaches to advance these disciplines. Highlighting the benefits that simulation can bring to any field, the volume presents case studies by the leading experts from such diverse domains as the life sciences, engineering, architecture, arts, and social sciences. Topics and features: Includes review questions at the end of every chapter Provides a broad overview of the evolution of the concept of simulation, stressing its importance across numerous sectors and disciplines Addresses the role of simulation in engineering design, and emphasizes the benefits of integrating simulation into the systems engineering paradigm Explains the relation of simulation with Cyber-Physical Systems and the Internet of Things, and describes a simulation infrastructure for complex adaptive systems Investigates how simulation is used in the Software Design Life Cycle to assess complex solutions, and examines the use of simulation in architectural design Reviews the function and purpose of simulation within the context of the scientific method, and its contribution to healthcare and health education training Discusses the position of simulation in research in the social sciences, and describes the simulation of service systems for simulation-based enterprise management Describes the role of simulation in learning and education, as well as in in military training With its near-exhaustive coverage of disciplines, this comprehensive collection is essential reading for all researchers, practitioners and students seeking insights into the use of various modeling paradigms and the need for robust simulation infrastructure to advance their field into a computational future.

Social sciences (general) --- Demography --- Biology --- Materials sciences --- Production management --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- DFMA (design for manufacture and assembly) --- analytische chemie --- IoT (Internet of Things) --- vormgeving --- biochemie --- biologie --- informatica --- sociale wetenschappen --- mineralen (chemie) --- simulaties --- mijnbouw --- wiskunde --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen

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This unique text/reference provides a comprehensive review of distributed simulation (DS) from the perspective of Model Driven Engineering (MDE), illustrating how MDE affects the overall lifecycle of the simulation development process. Numerous practical case studies are included to demonstrate the utility and applicability of the methodology, many of which are developed from tools available to download from the public domain. Topics and features: Provides a thorough introduction to the fundamental concepts, principles and processes of modeling and simulation, MDE and high-level architecture Describes a road map for building a DS system in accordance with the MDE perspective, and a technical framework for the development of conceptual models Presents a focus on federate (simulation environment) architectures, detailing a practical approach to the design of federations (i.e., simulation member design) Discusses the main activities related to scenario management in DS, and explores the process of MDE-based implementation, integration and testing Reviews approaches to simulation evolution and modernization, including architecture-driven modernization for simulation modernization Examines the potential synergies between the agent, DS, and MDE methodologies, suggesting avenues for future research at the intersection of these three fields Distributed Simulation – A Model Driven Engineering Approach is an important resource for all researchers and practitioners involved in modeling and simulation, and software engineering, who may be interested in adopting MDE principles when developing complex DS systems.

Computer science. --- Computer Science --- Engineering & Applied Sciences --- Digital computer simulation. --- Electronic data processing --- Distributed processing. --- Distributed computer systems in electronic data processing --- Distributed computing --- Distributed processing in electronic data processing --- Digital simulation --- Computer networks --- Computer simulation --- Computer simulation. --- Software engineering. --- Simulation and Modeling. --- Software Engineering. --- Models and Principles. --- Processor Architectures. --- Informatics --- Science --- Computer software engineering --- Engineering --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Computers. --- Microprocessors. --- Minicomputers --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace

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This book is based on the “Summer Simulation Multi-Conference” (SCSC), which has been a prominent platform for the dissemination of scholarly research in the M&S community for the last 50 years. In keeping with the conference’s seasonal title, the authors have called this half-century “the summer of simulation,” and it has led not only to simulation-based disciplines but also simulation as a discipline. This book discusses contributions from the SCSC in four sections. The first section is an introduction to the work. The second section is devoted to contributions from simulation research fellows who were associated with the SCSC, while the third section features the SCSC’s most influential contributions. Lastly, the fourth section includes contributions from the best papers in the last five years. Features: • A comprehensive volume dedicated to one of the simulation domain’s major conferences: the SCSC • Offers a scientometric analysis of the SCSC • Revisits high-impact topics from 50 years of the SCSC • Includes chapters by simulation research fellows associated with the SCSC • Presents updated best-paper contributions from the recent conference This work will be of value to anyone interested in the evolution of modeling and simulation over the last fifty years. Readers will gain a perspective on what drove this evolution, and develop an understanding of the key contributions that allowed this technology to grow into its own academic discipline and profession.

Computer simulation --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Research. --- Computer simulation. --- Engineering mathematics. --- Computer aided design. --- Simulation and Modeling. --- Mathematical Modeling and Industrial Mathematics. --- Mathematical and Computational Engineering. --- Numerical and Computational Physics, Simulation. --- Computer-Aided Engineering (CAD, CAE) and Design. --- Mathematical models. --- Applied mathematics. --- Physics. --- Computer-aided engineering. --- Engineering --- Engineering analysis --- Mathematical analysis --- Mathematics --- Models, Mathematical --- CAE --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Data processing --- Mathematical physics. --- Computer Modelling. --- Mathematical and Computational Engineering Applications. --- Theoretical, Mathematical and Computational Physics. --- Data processing. --- Physical mathematics --- Physics

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The history of flight started with the pioneer era. The introduction of mechanical controls (including hydraulics) then led to the second era. Later, with the utilization of computers and automation in aircraft, we reached the third era. Now, we are moving towards the fourth era of flight, namely Flight 4.0, which is characterized by “smart” and “connected” aircraft that extensively exploit emerging information and communication technologies. Aeronautical informatics is advancing rapidly through the synergy between information and communication technologies and aeronautics. Multi-core avionic platforms, wireless avionics networking, service-oriented architectures and IoT, data sciences and semantic infrastructures are shaping systems to come. Increasing autonomy requirements are challenging the community to investigate new ways to assure safety. Modern software engineering methodologies and real-time software techniques are altering the established development practice. Universities are starting to align their aerospace engineering and computer science curriculums in order to address this synergy. This book is a unique compilation of advancements in aeronautical informatics, introducing the changing technology landscape of flight with respect to a new push in information and communication technology.

Space research --- Astronomy --- Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- draadloze computernetwerken --- astronauten --- IoT (Internet of Things) --- informatiesystemen --- gegevensanalyse --- KI (kunstmatige intelligentie) --- computernetwerken --- ruimtevaart