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Table of Contents
Intro; Preface; Introduction; Historical Perspective; Chapter Summaries; Contents; Contributors; 1 50 Summers of Computer Simulation; Abstract; 1.1 Introduction; 1.2 The History of Summer Computer Simulation Conference; 1.2.1 The First Years; 1.2.2 Establishment and Beyond; 1.3 Summers of Simulation Application; 1.3.1 Seasons of Disease Modeling; 1.4 Summers of Methodology and Tools; 1.4.1 Simulation Software: A Historical Perspective and Future Trends; 1.4.2 Standardization and Reuse; 1.4.3 M&S and AI: The Odd Couple; 1.5 Upcoming Summers; 1.5.1 Is Simulation An Option for the Future?
1.5.2 Big Theory and Big Simulation1.5.3 Ubiquity of Simulation; 1.6 Summary; Acknowledgements; Disclaimer; References; 2 How Abstraction, Formalization and Implementation Drive the Next Stage in Modeling and Simulation; Abstract; 2.1 Introduction; 2.2 Abstraction, Formalization, and Implementation; 2.3 Ladder of Causation Versus Systems Specification Levels; 2.4 Synergy Between Data Science and Simulation Modeling; 2.4.1 Automating the Activities of M 2.5 Summary and Future Work; Appendix 1: Memoryless Systems; References
3 High-Speed, Low-Cost Simulation of Power Electronic Systems-A 50+ Year CollaborationAbstract; 3.1 Introduction; 3.2 Early Days; 3.3 A Time of Change; 3.4 Society for Computer Simulation; 3.5 California State University, Chico; 3.6 Partnership Renewed; 3.7 ONR Support; 3.8 Conclusion; Acknowledgements; References; 4 Over Fifty Years of My Involvement in Simulation; Abstract; 4.1 Introduction; 4.2 The Beginnings; 4.3 The Reviewers Were Not Ready; 4.4 The Trio; 4.5 Basics: Inputs and Data; 4.6 Quality and Failure Avoidance in Simulation; 4.7 Ethics in Simulation; 4.8 On Machine Understanding
4.9 Synergies4.10 Intelligence and Simulation; 4.11 Agent-Directed Simulation; 4.12 Simulation Terminology; 4.13 M&S Body of Knowledge (Bok); 4.14 Big Picture of Simulation; 4.15 Bigger Picture of Relationships: Similarity and Veracity; 4.16 My Aspiration for The Future of Simulation; 4.17 Epilogue; References; 5 Limitations and Usefulness of Computer Simulations for Complex Adaptive Systems Research; Abstract; 5.1 Introduction; 5.2 Complex Adaptive Systems; 5.3 Categories of Emergence; 5.3.1 Epistemological and Ontological Emergence; 5.3.2 Maier's Emergence Categories
5.4 Epistemological Constraints of Computational Systems5.5 Implications; 5.5.1 Research and Education; 5.5.2 Emergence in Simulations of Complex Adaptive Systems; 5.5.3 Decision Support and Management; 5.5.4 Moving the Boundaries of Possibilities; 5.6 Conclusion; Acknowledgements; References; 6 Cloud-Based Simulation; Abstract; 6.1 The Development of Modeling and Simulation: From Web to Cloud; 6.2 Web-Based Simulation; 6.2.1 Definition of Web-Based Simulation; 6.2.2 The Advantages and Disadvantage of WBS Compared to Classical Systems; 6.3 Extensible Modeling and Simulation Framework (XMSF)
1.5.2 Big Theory and Big Simulation1.5.3 Ubiquity of Simulation; 1.6 Summary; Acknowledgements; Disclaimer; References; 2 How Abstraction, Formalization and Implementation Drive the Next Stage in Modeling and Simulation; Abstract; 2.1 Introduction; 2.2 Abstraction, Formalization, and Implementation; 2.3 Ladder of Causation Versus Systems Specification Levels; 2.4 Synergy Between Data Science and Simulation Modeling; 2.4.1 Automating the Activities of M 2.5 Summary and Future Work; Appendix 1: Memoryless Systems; References
3 High-Speed, Low-Cost Simulation of Power Electronic Systems-A 50+ Year CollaborationAbstract; 3.1 Introduction; 3.2 Early Days; 3.3 A Time of Change; 3.4 Society for Computer Simulation; 3.5 California State University, Chico; 3.6 Partnership Renewed; 3.7 ONR Support; 3.8 Conclusion; Acknowledgements; References; 4 Over Fifty Years of My Involvement in Simulation; Abstract; 4.1 Introduction; 4.2 The Beginnings; 4.3 The Reviewers Were Not Ready; 4.4 The Trio; 4.5 Basics: Inputs and Data; 4.6 Quality and Failure Avoidance in Simulation; 4.7 Ethics in Simulation; 4.8 On Machine Understanding
4.9 Synergies4.10 Intelligence and Simulation; 4.11 Agent-Directed Simulation; 4.12 Simulation Terminology; 4.13 M&S Body of Knowledge (Bok); 4.14 Big Picture of Simulation; 4.15 Bigger Picture of Relationships: Similarity and Veracity; 4.16 My Aspiration for The Future of Simulation; 4.17 Epilogue; References; 5 Limitations and Usefulness of Computer Simulations for Complex Adaptive Systems Research; Abstract; 5.1 Introduction; 5.2 Complex Adaptive Systems; 5.3 Categories of Emergence; 5.3.1 Epistemological and Ontological Emergence; 5.3.2 Maier's Emergence Categories
5.4 Epistemological Constraints of Computational Systems5.5 Implications; 5.5.1 Research and Education; 5.5.2 Emergence in Simulations of Complex Adaptive Systems; 5.5.3 Decision Support and Management; 5.5.4 Moving the Boundaries of Possibilities; 5.6 Conclusion; Acknowledgements; References; 6 Cloud-Based Simulation; Abstract; 6.1 The Development of Modeling and Simulation: From Web to Cloud; 6.2 Web-Based Simulation; 6.2.1 Definition of Web-Based Simulation; 6.2.2 The Advantages and Disadvantage of WBS Compared to Classical Systems; 6.3 Extensible Modeling and Simulation Framework (XMSF)