Buch, Englisch, 352 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 5621 g
A Tribute to Tuncer Ören
Buch, Englisch, 352 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 5621 g
Reihe: Simulation Foundations, Methods and Applications
ISBN: 978-3-319-38260-9
Verlag: Springer International Publishing
This comprehensive text/reference 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 Professor 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.
Topics and 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 literature survey of the body of knowledge in M&S; highlights the conceptual, theoretical, and methodological foundations established by the pioneering work of Professor Tuncer Ören.
This authoritative volume offers inspiring and illuminating insights of benefit to all researchers, practitioners and graduate students in M&S, especially those interested in modeling complexity and simulating complex adaptive systems, and other Grand Challenges.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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
Gürkan Özhan and Halit Oguztüzün
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
