Levent Yilmaz – författare

Backed by substantive case studies, the novel approach to software engineering for distributed simulation outlined in this text demonstrates the potent synergies between model-driven techniques, simulation, intelligent agents, and computer systems development.

This uniquetext/reference provides a comprehensive review of distributed simulation (DS)from the perspective of Model Driven Engineering (MDE), illustrating how MDEaffects the overall lifecycle of the simulation development process. Numerouspractical case studies are included to demonstrate the utility andapplicability of the methodology, many of which are developed from toolsavailable to download from the public domain.

Topics and features:

Provides a thorough introduction to the fundamental concepts, principles and processes of modeling and simulation, MDE and high-level architecture Describes a road map for building a DS system in accordance with the MDE perspective, and a technical framework for the development of conceptual models Presents a focus on federate (simulation environment) architectures, detailing a practical approach to the design of federations (i.e., simulation member design) Discusses the main activities related to scenario management in DS, and explores the process of MDE-based implementation, integration and testing Reviews approaches to simulation evolution and modernization, including architecture-driven modernization for simulation modernization Examines the potential synergies between the agent, DS, and MDE methodologies, suggesting avenues for future research at the intersection of these three fields

Distributed Simulation –A Model Driven Engineering Approach is an important resource for allresearchers and practitioners involved in modeling and simulation, and softwareengineering, who may be interested in adopting MDE principles when developingcomplex DS systems.

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.

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.

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.

This uniquetext/reference provides a comprehensive review of distributed simulation (DS)from the perspective of Model Driven Engineering (MDE), illustrating how MDEaffects the overall lifecycle of the simulation development process. Numerouspractical case studies are included to demonstrate the utility andapplicability of the methodology, many of which are developed from toolsavailable to download from the public domain.Topics and features:Provides a thorough introduction to the fundamentalconcepts, principles and processes of modeling and simulation, MDE andhigh-level architectureDescribes a road map for building a DS system inaccordance with the MDE perspective, and a technical framework for thedevelopment of conceptual modelsPresents a focus on federate (simulation environment)architectures, detailing a practical approach to the design of federations(i.e., simulation member design)Discusses the main activities related to scenariomanagement in DS, and explores the process of MDE-based implementation,integration and testing Reviews approaches to simulation evolution andmodernization, including architecture-driven modernization for simulationmodernizationExamines the potential synergies between the agent, DS,and MDE methodologies, suggesting avenues for future research at theintersection of these three fieldsDistributed Simulation –A Model Driven Engineering Approach is an important resource for allresearchers and practitioners involved in modeling and simulation, and softwareengineering, who may be interested in adopting MDE principles when developingcomplex DS systems.