Modeling and Simulation of Complex Systems: A Framework for Efficient Agent-Based Modeling and Simulation by Robert SiegfriedModeling and Simulation of Complex Systems: A Framework for Efficient Agent-Based Modeling and Simulation by Robert Siegfried

Modeling and Simulation of Complex Systems: A Framework for Efficient Agent-Based Modeling and…

byRobert Siegfried

Paperback | October 23, 2014

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Robert Siegfried presents a framework for efficient agent-based modeling and simulation of complex systems. He compares different approaches for describing structure and dynamics of agent-based models in detail. Based on this evaluation the author introduces the "General Reference Model for Agent-based Modeling and Simulation" (GRAMS). Furthermore he presents parallel and distributed simulation approaches for execution of agent-based models -from small scale to very large scale. The author shows how agent-based models may be executed by different simulation engines that utilize underlying hardware resources in an optimized fashion.
Robert Siegfried is Senior Consultant for IT/M&S projects. He earned his doctorate in modeling and simulation at the Universität der Bundeswehr München. His research areas are agent-based modeling and simulation, distributed simulation, and quality management. He has worked on topics like model documentation and management, distributed...
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Title:Modeling and Simulation of Complex Systems: A Framework for Efficient Agent-Based Modeling and…Format:PaperbackDimensions:227 pages, 21 × 14.8 × 0.17 inPublished:October 23, 2014Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3658075287

ISBN - 13:9783658075286

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Table of Contents

Introduction.- Preliminaries and related work: Agent-based modeling and simulation, Parallel and distributed multi-agent simulation, Summary.- Eï¬ective and eï¬cient model development: The need for a reference model for agent-based modeling and simulation, GRAMS - General Reference Model for Agent-based Modeling and Simulation, Summary.- Eï¬ective model execution: Model partitioning and multi-level parallelization, Example implementation of GRAMS, Summary.- Conclusions.