Modeling and Simulation of Complex Systems

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.

Publication in the field of technical sciences Includes supplementary material: sn.pub/extras

Autorentext
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.

Inhalt
Introduction.- Preliminaries and related work: Agent-based modeling and simulation, Parallel and distributed multi-agent simulation, Summary.- Eective and ecient 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.- Eective model execution: Model partitioning and multi-level parallelization, Example implementation of GRAMS, Summary.- Conclusions.