Modeling and Simulation of Complex Systems
A Framework for Efficient Agent-Based Modeling and Simulation
Published on 23. October 2014
Book
Paperback/Softback
XIX, 227 pages
978-3-658-07528-6 (ISBN)
Description
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.
More details
Language
English
Place of publication
Wiesbaden
Germany
Publishing group
Springer Fachmedien Wiesbaden GmbH
Target group
Professional and scholarly
- Scientists and students in the field of modeling and simulation
- Practitioners in modeling and simulation
Illustrations
27 s/w Abbildungen, 13 farbige Abbildungen
XIX, 227 p. 40 illus., 13 illus. in color.
Dimensions
Height: 210 mm
Width: 148 mm
Thickness: 14 mm
Weight
326 gr
ISBN-13
978-3-658-07528-6 (9783658075286)
DOI
10.1007/978-3-658-07529-3
Schweitzer Classification
Other editions
Additional editions
Robert Siegfried
Modeling and Simulation of Complex Systems
A Framework for Efficient Agent-Based Modeling and Simulation
E-Book
10/2014
1st Edition
Springer Vieweg
€96.29
Available for download
Person
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 simulation test beds, and process models. He is active member of the NATO Modeling and Simulation Group and the Simulation Interoperability Standards Organization.
Content
Introduction.- Preliminaries and related work: Agent-based modeling and simulation, Parallel and distributed multi-agent simulation, Summary.- E?ective and e?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.- E?ective model execution: Model partitioning and multi-level parallelization, Example implementation of GRAMS, Summary.- Conclusions.