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Concepts and Methodologies for Modeling and Simulation: A Tribute to Tuncer Ören

ISBN-13: 9783319382609 / Angielski / Miękka / 2016 / 352 str.

Levent Yilmaz
Concepts and Methodologies for Modeling and Simulation: A Tribute to Tuncer Ören Yilmaz, Levent 9783319382609 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Concepts and Methodologies for Modeling and Simulation: A Tribute to Tuncer Ören

ISBN-13: 9783319382609 / Angielski / Miękka / 2016 / 352 str.

Levent Yilmaz
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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 Oren 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 Oren.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.

Kategorie:
Informatyka
Kategorie BISAC:
Computers > Computer Simulation
Technology & Engineering > Engineering (General)
Science > System Theory
Wydawca:
Springer
Seria wydawnicza:
Simulation Foundations, Methods and Applications
Język:
Angielski
ISBN-13:
9783319382609
Rok wydania:
2016
Wydanie:
Softcover Repri
Numer serii:
000450923
Ilość stron:
352
Waga:
0.52 kg
Wymiary:
23.39 x 15.6 x 1.96
Oprawa:
Miękka
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

"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)

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

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.

Dr. Levent Yılmaz is a Professor in the departments of Computer Science and Software Engineering, and Industrial and Systems Engineering, at Auburn University, AL, USA.



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