Modeling and Simulation of Complex Systems
A Framework for Efficient Agent-Based Modeling and Simulation
1st Edition
Published on 8. October 2014
XIX, 227 pages
978-3-658-07529-3 (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
Series
Language
English
Place of publication
Wiesbaden
Germany
Publishing group
Springer Fachmedien Wiesbaden GmbH
Target group
Professional and scholarly
Illustrations
XIX, 227 p. 40 illus., 13 illus. in color.
File size
1,59 MB
ISBN-13
978-3-658-07529-3 (9783658075293)
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
Book
10/2014
Springer Vieweg
€96.29
Shipment within 10-15 days
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.
