Concepts and methodologies for modeling and simulation : a tribute to Tuncer Ören /
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 ©ℓren to this field. Exploring the synergies among the domains of...
| Other Authors: | , , |
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| Format: | Book |
| Language: | English |
| Published: |
Cham :
Springer,
2015
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| Series: | Simulation foundations, methods and applications
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| Subjects: |
Table of Contents:
- 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