MASON: A multiagent simulation environment
MASON: A multiagent simulation environment
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DOI：
10.1177/0037549705058073
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发表时间：
2005-07-01
影响因子：
1.6
通讯作者：
Balan, G
中科院分区：
文献类型：
--
作者：
Luke, S;Cioffi-Revilla, C;Balan, G
MASON是一个快速，易于扩展，离散事件多代理仿真工具包在Java中，旨在作为广泛的多代理仿真任务的基础，从群体机器人到机器学习到社会复杂性环境。MASON仔细地划分了模型和可视化之间的界限，允许模型动态地从可视化工具分离或附加到可视化工具，并在运行过程中更改平台。本文介绍了MASON系统，它的动机，它的基本架构设计。然后，它比较梅森相关的多代理图书馆在公共领域，并讨论了六个应用程序的系统建立在过去的一年中，这表明其效用的广度。
MASON is a fast, easily extensible, discrete-event multi-agent simulation toolkit in Java, designed to serve as the basis for a wide range of multi-agent simulation tasks ranging from swarm robotics to machine learning to social complexity environments. MASON carefully delineates between model and visualization, allowing models to be dynamically detached from or attached to visualizers, and to change platforms mid-run. This paper describes the MASON system, its motivation, and its basic architectural design. It then compares MASON to related multi-agent libraries in the public domain, and discusses six applications of the system built over the past year which suggest its breadth of utility.