Description
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 ren 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 pioneering work of Prof. Tuncer ren. Part I: Simulation Methodologies Toward Agent-Supported and Agent-Monitored Model-Driven Simulation Engineering Levent Yilmaz Service Oriented Model Engineering and Simulation for System of Systems Engineering Bernard P. Zeigler and Lin Zhang Research on High Performance Modeling and Simulation for Complex Systems Bo Hu Li, Xudong Chai, Tan Li, Baocun Hou, Duzheng Qin, Qinping Zhao, Lin Zhang, Aimin Hao, Jun Li, and Ming Yang Dynamic Data-Driven Simulation: Connecting Real Time Data with Simulation Xiaolin Hu Part II: Modeling Methodologies Learning Something Right from Models that are Wrong – Epistemology of Simulation Andreas Tolk Managing Hybrid Model Composition Complexity: Human-Environment Simulation Models Hessam S. Sarjoughian. Gary R. Mayer, Isaac I. Ullah, and C. Michael Barton Transformation of Conceptual Models to Executable High Level Architecture Federation Models Grkan zhan and Halit Oguztzn Using Discrete-Event Cell-Based Multimodels for the Simulation of Evacuation Processes Gabriel Wainer Part III: Quality Assurance and Reliability of Simulation Studies Quality Indicators throughout the Modeling and Simulation Life Cycle Osman Balci Verification, Validation, and Replication Methods for Agent-Based Modeling and Simulation: Lessons Learned the Hard Way! S.M. Niaz Arifin and Gregory R. Madey Comparisons of Validated Agent-Based Model and Calibrated Statistical Model ll-Chul Moon Generalized Discrete Events for Accurate Modeling and Simulation of Logic Gates M. Hamri, N. Giambiasi, and A. Naamane Part IV: Cognitive, Emotive, and Social Simulation Specification and Implementation of Social Science Models Paul K. Davis Simulating Human Social BehaviorsYu Zhang Part V: Body of Knowledge of Modeling & Simulation A Review of Extant M&S Literature through Journal Profiling and Co-Citation Analysis Navonil Mustafee, Korina Katsaliaki, and Paul Fishwick
