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Guide to simulation-based disciplines : advancing our computational future

Author: Saurabh Mittal; Umut Durak; Tuncer I Ören
Publisher: Cham : Springer, 2017.
Series: Simulation foundations, methods and applications.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
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,  Read more...
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Genre/Form: Electronic books
Additional Physical Format: (OCoLC)988283390
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Saurabh Mittal; Umut Durak; Tuncer I Ören
ISBN: 9783319612645 3319612646
OCLC Number: 999583634
Notes: Includes indexes.
Description: 1 online resource.
Contents: Foreword; Preface; Motivation; Overview; Invitation; Contents; Editors and Contributors; Acronyms; Background; 1 The Evolution of Simulation and Its Contribution to Many Disciplines; Abstract; 1.1 Introduction; 1.2 Definition(s) of Simulation; 1.3 Reasons to Use Simulation; 1.4 Aspects of the Evolution of Simulation; 1.4.1 Noncomputerized Simulation; 1.4.2 Computerized Simulation; 1.4.3 Formal Simulation; 1.4.4 AI-directed Simulation; 1.4.5 Agent-Directed Simulation (ADS); 1.4.6 Soft Simulation; 1.4.7 Simulation Systems Engineering; 1.4.8 Simulation-Based Disciplines 1.4.9 Simulation-as-a-Service1.5 Future of Simulation-Based Disciplines; Appendix 1.1-Terms Related with Similitude; References; 2 Modeling and Simulation (M&S) Technology Landscape; Abstract; 2.1 Introduction; 2.2 The Global M&S Landscape; 2.3 The U.S. M&S Landscape; 2.4 Some "Good Challenges" in M 2.5 Summary; References; Engineering and Architecture; 3 Simulation-Based Engineering; Abstract; 3.1 Introduction; 3.1.1 Overview of the Engineering Design Process; 3.1.2 Source of Models; 3.2 Simulation of Continuum; 3.2.1 Finite-Difference Method; 3.2.2 Finite Volume Method 3.2.3 Finite Element Method3.2.4 Meshless Methods; 3.2.5 Multi-scale Methods; 3.2.6 Solid Mechanics; 3.2.7 Fluid Mechanics; 3.2.8 Electromagnetics; 3.2.9 Multi-physics Methods; 3.3 Simulation of Machinery; 3.3.1 Single Degree of Freedom Systems; 3.3.2 Multi-Degree of Freedom Systems; 3.4 Simulation of Multi-domain Systems; 3.4.1 Control Systems; 3.4.2 Robotics and Cyber-Physical Systems; 3.5 Conclusions and Outlook of the Topic; References; 4 Simulation-Based Systems Engineering; Abstract; 4.1 Introduction; 4.2 State of the Art in Model-Based Support to Systems Engineering 4.2.1 Integrating Modeling into the Systems Engineering Methodology4.2.1.1 Systems Engineering of High Performance Systems; 4.2.1.2 Improving System Engineering with Model-Based Systems Engineering; 4.2.1.3 Improving Model-Based Systems Engineering with Executable Architectures; 4.2.2 The Limits to Modeling in Systems Engineering; 4.3 Simulation in Support of Systems Engineering; 4.3.1 Integrating Simulation into the Systems Engineering Methodology; 4.3.1.1 Insight into the Dynamic Behavior of Systems; 4.3.1.2 Using Situated Simulation Environments; 4.3.1.3 Immersive Environments 4.3.2 Applying Complex Adaptive System Technology to Improve Systems Engineering4.3.2.1 Agent-Based Metaphor: Self-organization, Learning, and Social Behavior; 4.3.2.2 From Stability via Sustainability to Antifragility; 4.4 Topics for a Research Agenda; 4.4.1 Standards for Systems Engineering and Simulation; 4.4.2 Improving Complex Adaptive Solutions; 4.5 Discussion and Summary; References; 5 Simulation-Based Cyber-Physical Systems and Internet-of-Things; Abstract; 5.1 Introduction; 5.1.1 Definitions and Explanations of the Concepts of CPS/IoT; 5.1.2 Connotation of SB-IoT and SB-CPS
Series Title: Simulation foundations, methods and applications.
Responsibility: Saurabh Mittal, Umut Durak, Tuncer Ören, editors.

Abstract:

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.

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