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

Format:

Book

Author/Creator:

Siegfried, Robert, 1921- author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Language:

English

Subjects (All):

Artificial intelligence.

Software engineering.

Artificial Intelligence.

Software Engineering/Programming and Operating Systems.

Local Subjects:

Artificial Intelligence.

Software Engineering/Programming and Operating Systems.

Physical Description:

1 online resource (XIX, 227 pages) : 40 illustrations, 13 illustrations in color

Edition:

First edition 2014.

Contained In:

Springer eBooks

Place of Publication:

Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2014.

System Details:

text file PDF

Summary:

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. Contents Basics of agent-based modeling and simulation Parallel and distributed multi-agent simulation General Reference Model for Agent-Based Modeling and Simulation Model partitioning and multi-level parallelization Example implementation and benchmarks Target Groups Scientists and students in the field of modeling and simulation Practitioners in modeling and simulation About the Author 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.

Contents:

Introduction

Preliminaries and related work: Agent-based modeling and simulation, Parallel and distributed multi-agent simulation, Summary

Effective and efficient 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

Effective model execution: Model partitioning and multi-level parallelization, Example implementation of GRAMS, Summary

Conclusions.

Other Format:

Printed edition:

ISBN:

978-3-658-07529-3

9783658075293

Access Restriction:

Restricted for use by site license.