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.