Description
Book SynopsisRobert 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.
Table of ContentsIntroduction.- 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.
