SPADES: A System for Parallel-Agent, Discrete-Event Simulation

SPADES: A System for Parallel-Agent, Discrete-Event Simulation
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SPADES:并行代理、离散事件模拟系统

DOI:
10.1609/aimag.v24i2.1701
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发表时间:
2003
期刊:
AI Mag.
影响因子:
--
通讯作者:
Patrick Riley
Patrick Riley
中科院分区:
--
文献类型:
--
作者:
Patrick Riley

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模拟是研究AI的绝佳工具。然而,人工智能社区使用的和为人工智能社区设计的仿真技术往往无法利用更大的仿真社区的大部分工作来产生稳定,可重复和有效的仿真。我目前的SPADES(系统并行代理离散事件模拟)作为模拟基板的AI社区。SPADES专注于代理作为一个基本的模拟组件。智能体的“思考时间”被跟踪并反映在智能体的行动结果中。SPADES支持和管理代理在机器上的分布,同时它对网络性能和机器负载的变化具有鲁棒性。SPADES不依赖于任何特定的模拟,是一个强大的新工具,用于为AI研究创建模拟。
Simulations are an excellent tool for studying AI. However, the simulation technology in use by, and designed for, the AI community often fails to take advantage of much of the work in the larger simulation community to produce stable, repeatable, and efficient simulations. I present SPADES (SYSTEM FOR PARALLEL-AGENT DISCRETE-EVENT SIMULATION) as a simulation substrate for the AI community. SPADES focuses on the agent as a fundamental simulation component. The "thinking time" of an agent is tracked and reflected in the results of the agents' actions. SPADES supports and manages the distribution of agents across machines while it is robust to variations in network performance and machine load. SPADES is not tied to any particular simulation and is a powerful new tool for creating simulations for the study of AI.