Concepts and Methodologies for Modeling and Simulation

<p>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.</p>