This comprehensive text presents cutting-edge advances in the theory and methodology of modeling and simulation (M&S) and reveals how this work has been influenced by the fundamental contributions of Prof. Tuncer Ören to this field. Exploring the synergies among the domains of M&S and systems engineering (SE), the book describes how M&S and SE can help to address the complex problems identified as “Grand Challenges” more effectively under a model-driven and simulation-directed systems engineering framework. Features: examines frameworks for the development of advanced simulation methodologies; presents a focus on advanced modeling methodologies; reviews the reliability and quality assurance of models; discusses the specification and simulation of human and social behavior, including models of personality, emotions, conflict management, perception and anticipation; provides a survey of the body of knowledge in M&S; highlights the foundations established by the pioneeringwork of Prof. Tuncer Ören.
İçerik tablosu
Part I: Simulation Methodologies.- Toward Agent-Supported and Agent-Monitored Model-Driven Simulation Engineering.- Service Oriented Model Engineering and Simulation for System of Systems Engineering.- Research on High Performance Modeling and Simulation for Complex Systems.- Dynamic Data-Driven Simulation: Connecting Real Time Data with Simulation.- Part II: Modeling Methodologies.- Learning Something Right from Models that are Wrong – Epistemology of Simulation.- Managing Hybrid Model Composition Complexity: Human-Environment Simulation Models.- Transformation of Conceptual Models to Executable High Level Architecture Federation Models.- Using Discrete-Event Cell-Based Multi models for the Simulation of Evacuation Processes.- Part III: Quality Assurance and Reliability of Simulation Studies.- Quality Indicators throughout the Modeling and Simulation Life Cycle.- Verification, Validation and Replication Methods for Agent-Based Modeling and Simulation: Lessons Learned the Hard Way!.- Comparisons of Validated Agent-Based Model and Calibrated Statistical Model.- Generalized Discrete Events for Accurate Modeling and Simulation of Logic Gates.- Part IV: Cognitive, Emotive and Social Simulation.- Specification and Implementation of Social Science Models.- Simulating Human Social Behaviors.- Part V: Body of Knowledge of Modeling & Simulation.- A Review of Extant M&S Literature through Journal Profiling and Co-Citation Analysis.
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