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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
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