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Body of Knowledge for Modeling and Simulation

A Handbook by the Society for Modeling and Simulation International

  • Book
  • © 2023

Overview

  • Concise description of all relevant concepts
  • Broad overview of the discipline of M&S
  • World renowned M&S experts contribute key sections

Part of the book series: Simulation Foundations, Methods and Applications (SFMA)

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Table of contents (19 chapters)

Keywords

About this book

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.

Tuncer Ă–ren is Professor Emeritus at the University of Ottawa. Bernard Zeigler is Professor Emeritus at the University of Arizona. Andreas Tolk is Chief Scientist at The MITRE Corporation. All three editors are long-time members and Fellows of the Society for Modeling and Simulation International. Under the leadership of three SCS Fellows, Dr. Ă–ren, 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.


Editors and Affiliations

  • School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada

    Tuncer Ă–ren

  • Department of Electrical and Computer Engineering, University of Arizona, Tucson, USA

    Bernard P. Zeigler

  • The MITRE Corporation, Charlottesville, USA

    Andreas Tolk

About the editors

Tuncer Ă–ren is Professor Emeritus at the University of Ottawa. Bernard Zeigler is Professor Emeritus at the University of Arizona. Andreas Tolk is Chief Scientist at The MITRE Corporation. All three editors are long-time members and Fellows of the Society for Modeling and Simulation International.

Bibliographic Information

  • Book Title: Body of Knowledge for Modeling and Simulation

  • Book Subtitle: A Handbook by the Society for Modeling and Simulation International

  • Editors: Tuncer Ă–ren, Bernard P. Zeigler, Andreas Tolk

  • Series Title: Simulation Foundations, Methods and Applications

  • DOI: https://doi.org/10.1007/978-3-031-11085-6

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Hardcover ISBN: 978-3-031-11084-9Published: 28 January 2023

  • Softcover ISBN: 978-3-031-11087-0Published: 28 January 2024

  • eBook ISBN: 978-3-031-11085-6Published: 27 January 2023

  • Series ISSN: 2195-2817

  • Series E-ISSN: 2195-2825

  • Edition Number: 1

  • Number of Pages: XV, 548

  • Number of Illustrations: 40 b/w illustrations, 122 illustrations in colour

  • Topics: Simulation and Modeling, Complex Systems, Game Theory, Economics, Social and Behav. Sciences, Engineering Design

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