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This user’s reference is a companion to the separate book also titled “Guide to Modeling and Simulation of Systems of Systems.” The principal book explicates integrated development environments to support virtual building and testing of systems of systems, covering in some depth the MS4 Modeling Environment™. This user’s reference provides a quick reference and exposition of the various concepts and functional features covered in that book. The topics in the user’s reference are grouped in alignment with the workflow displayed on the MS4 Modeling Environment™ launch page, under the headings Atomic Models, System Entity Structure, Pruning SES, and Miscellaneous. For each feature, the reference discusses why we use it, when we should use it, and how to use it. Further comments and links to related features are also included.
Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- vormgeving --- computers --- mineralen (chemie) --- simulaties --- mijnbouw --- KI (kunstmatige intelligentie) --- computerkunde --- AI (artificiële intelligentie)
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Systems of systems are at the root of this century’s global challenges of economy, climate, and energy. Building and testing such systems within a virtual reality is the only workable alternative when direct real-world experimentation is potentially dangerous, costly or unethical. This Guide to Modeling and Simulation of Systems of Systems demonstrates how virtual build and test can be supported by the Discrete Event Systems Specification (DEVS) simulation modeling formalism, and the System Entity Structure (SES) simulation model ontology. The book examines a wide variety of Systems of Systems (SoS) problems, ranging from cloud computing systems to biological systems in agricultural food crops. Topics and features: Includes numerous exercises, examples and case studies throughout the text, together with introductory and summary sections Discusses how the SoS concept and supporting virtual build and test environments can overcome the limitations of current approaches Presents a step-by-step introduction to DEVS concepts, encouraging hands-on practice to building sophisticated SoS models Illustrates virtual build and test for a variety of SoS applications using DEVS simulation environments: MS4 Me™, CoSMoS/DEVS-Suite and Virtual Laboratory Environment Examines a range of diverse applications, from the development of new satellite design and launch technologies, to surveillance and control in animal epidemiology Introduces an approach based on activity concepts intrinsic to DEVS-based system design, that integrates both energy and information processing requirements Describes co-design modeling concepts and methods to capture separate and integrated software and hardware systems This exercise-driven and easy-to-follow guide/reference is an essential practical resource for graduate students and instructors. .
Computer science --- Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- cloud computing --- vormgeving --- computers --- informatica --- computerbesturingssystemen --- mineralen (chemie) --- simulaties --- informatiesystemen --- mijnbouw --- KI (kunstmatige intelligentie) --- informatica management --- computerkunde --- AI (artificiële intelligentie)
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"Theory of Modeling and Simulation: Discrete Event & Iterative System Computational Foundations, Third Edition, continues the legacy of this authoritative and complete theoretical work. It is ideal for graduate and PhD students and working engineers interested in posing and solving problems using the tools of logico-mathematical modeling and computer simulation. Continuing its emphasis on the integration of discrete event and continuous modeling approaches, the work focuses light on DEVS and its potential to support the co-existence and interoperation of multiple formalisms in model components."--Provided by publisher.
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Commissioned by the Society for Modeling and Simulation International (SCS), this needed, useful new 'Body of Knowledge' (BoK) collects and organizes the common understanding of a wide collection of professionals and professional associations. Modeling and simulation (M&S) is a ubiquitous discipline that lays the computational foundation for real and virtual experimentation, clearly stating boundaries-and interactions-of systems, data, and representations. The field is well known, too, for its training support via simulations and simulators. Indeed, with computers increasingly influencing the activities of today's world, M&S is the third pillar of scientific understanding, taking its place along with theory building and empirical observation. This valuable new handbook provides intellectual support for all disciplines in analysis, design and optimization. It contributes increasingly to the growing number of computational disciplines, addressing the broad variety of contributing as well as supported disciplines and application domains. Further, each of its sections provide numerous references for further information. Highly comprehensive, the BoK represents many viewpoints and facets, captured under such topics as: Mathematical and Systems Theory Foundations Simulation Formalisms and Paradigms Synergies with Systems Engineering and Artificial Intelligence Multidisciplinary Challenges Ethics and Philosophy Historical Perspectives Examining theoretical as well as practical challenges, this unique volume addresses the many facets of M&S for scholars, students, and practitioners. As such, it affords readers from all science, engineering, and arts disciplines a comprehensive and concise representation of concepts, terms, and activities needed to explain the M&S discipline. Under the leadership of three SCS Fellows, Dr. Ören, University of Ottawa, Dr. Zeigler, The University of Arizona, and Dr. Tolk, The MITRE Corporation, more than 50 international scholars from 15 countries provided insights and experience to compile this initial M&S Body of Knowledge.
Discrete mathematics --- Materials sciences --- Production management --- Artificial intelligence. Robotics. Simulation. Graphics --- Recreation. Games. Sports. Corp. expression --- grafentheorie --- DFMA (design for manufacture and assembly) --- spellen --- mineralen (chemie) --- systeemtheorie --- mijnbouw
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