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Concepts and Methodologies for Modeling and Simulation


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Table of Contents

Part I: Simulation MethodologiesToward Agent-Supported and Agent-Monitored Model-Driven Simulation Engineering
Levent YilmazService Oriented Model Engineering and Simulation for System of Systems Engineering
Bernard P. Zeigler and Lin ZhangResearch 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 YangDynamic Data-Driven Simulation: Connecting Real Time Data with Simulation
Xiaolin HuPart II: Modeling MethodologiesLearning Something Right from Models that are Wrong - Epistemology of Simulation
Andreas TolkManaging Hybrid Model Composition Complexity: Human-Environment Simulation Models
Hessam S. Sarjoughian. Gary R. Mayer, Isaac I. Ullah, and C. Michael BartonTransformation of Conceptual Models to Executable High Level Architecture Federation Models
Gurkan OEzhan and Halit OguztuzunUsing Discrete-Event Cell-Based Multimodels for the Simulation of Evacuation Processes
Gabriel WainerPart III: Quality Assurance and Reliability of Simulation StudiesQuality Indicators throughout the Modeling and Simulation Life Cycle
Osman BalciVerification, Validation, and Replication Methods for Agent-Based Modeling and Simulation: Lessons Learned the Hard Way!
S.M. Niaz Arifin and Gregory R. MadeyComparisons of Validated Agent-Based Model and Calibrated Statistical Model
ll-Chul MoonGeneralized Discrete Events for Accurate Modeling and Simulation of Logic Gates
M. Hamri, N. Giambiasi, and A. NaamanePart IV: Cognitive, Emotive, and Social SimulationSpecification and Implementation of Social Science Models
Paul K. DavisSimulating Human Social BehaviorsYu ZhangPart V: Body of Knowledge of Modeling & SimulationA Review of Extant M&S Literature through Journal Profiling and Co-Citation Analysis
Navonil Mustafee, Korina Katsaliaki, and Paul Fishwick


"The book is written in a vigorous and simple way while doing easy the reading for scientists and public with different levels of knowledge and with different needs and curiosities about treated topics, which places the book as a necessary reference for the progress of knowledge on modeling and simulation. ... offer opportunities to help advance knowledge, improving the quality of results and respect ethical principles which are gaining ground every day in the constructions of the new global society." (Research Gate, researchgate.net, December 2015)

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