Observation of Large-Scale Multi-Agent Based Simulations

机译：基于大规模多智能体的仿真观察

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The computational cost of large-scale multi-agent based sim ulations (MABS) can be extremely important, especially if simulations have to be monitored for validation purposes. In this paper, two methods, based on self-observation and statistical survey theory, are introduced in order to optimize the computation of observations in MABS. An empiri cal comparison of the computational cost of these methods is performed on a toy problem.

机译：大规模基于多主体的仿真（MABS）的计算成本可能非常重要，尤其是在出于验证目的而必须监视仿真的情况下尤其如此。本文介绍了基于自观测和统计调查理论的两种方法，以优化MABS中观测的计算。对玩具问题进行了这些方法的计算成本的经验比较。

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来源
《Multi-agent-based simulation XII.》|2011年|p.103-112|共10页
会议地点 Taipei(CT);Taipei(CT);Taipei(CT);Taipei(CT)
作者
Gildas Morvan; Alexandre Veremme; Daniel Dupont;
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作者单位

Univ. Lille Nord de France, 1bis rue Georges Lefevre 59044 Lille cedex, France,LGI2A, U. Artois, Technoparc Futura 62400 Bethune, France;

Univ. Lille Nord de France, 1bis rue Georges Lefevre 59044 Lille cedex, France,HEI, 13 rue de Toul 59046 Lille Cedex, France;

Univ. Lille Nord de France, 1bis rue Georges Lefevre 59044 Lille cedex, France,HEI, 13 rue de Toul 59046 Lille Cedex, France;

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会议组织
原文格式 PDF
正文语种 eng
中图分类人工智能理论;人工智能理论;
关键词
large-scale multi-agent based simulations; observation methods; scalability;

机译：基于大规模多主体的仿真；观察方法；可扩展性;

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Observation of Large-Scale Multi-Agent Based Simulations

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