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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 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. Features: examines frameworks for the development of advanced simulation methodologies;…mehr
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 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. 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 pioneeringwork of Prof. Tuncer Ören.
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.
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.
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.
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.
Rezensionen
"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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