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Systems Dynamics or Agent-Based Modelling for Immune Simulation?

机译:用于免疫模拟的系统动力学还是基于代理的建模?

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摘要

In immune system simulation there are two competing simulation approaches: System Dynamics Simulation (SDS) and Agent-Based Simulation (ABS). In the literature there is little guidance on how to choose the best approach for a specific immune problem. Our overall research aim is to develop a framework that helps researchers with this choice. In this paper we investigate if it is possible to easily convert simulation models between approaches. With no explicit guidelines available from the literature we develop and test our own set of guidelines for converting SDS models into ABS models in a non-spacial scenario. We also define guidelines to convert ABS into SDS considering a non-spatial and a spatial scenario. After running some experiments with the developed models we found that in all cases there are significant differences between the results produced by the different simulation methods.
机译:在免疫系统仿真中,有两种竞争性仿真方法:系统动力学仿真(SDS)和基于代理的仿真(ABS)。在文献中,关于如何为特定的免疫问题选择最佳方法的指导很少。我们的总体研究目标是开发一个框架,以帮助研究人员选择该框架。在本文中,我们研究了是否可以轻松地在方法之间转换仿真模型。在没有文献提供的明确指导的情况下,我们将开发和测试我们自己的指导,以在非空间情况下将SDS模型转换为ABS模型。考虑到非空间和空间情况,我们还定义了将ABS转换为SDS的准则。在使用已开发的模型进行一些实验之后,我们发现在所有情况下,不同的仿真方法所产生的结果之间存在显着差异。

著录项

  • 来源
    《Artificial immune systems.》|2011年|p.81-94|共14页
  • 会议地点 Cambridge(GB);Cambridge(GB)
  • 作者单位

    Intelligent Modelling and Analysis Research Group, School of Computer Science, The University of Nottingham, NG8 IBB, UK;

    Intelligent Modelling and Analysis Research Group, School of Computer Science, The University of Nottingham, NG8 IBB, UK;

    Intelligent Modelling and Analysis Research Group, School of Computer Science, The University of Nottingham, NG8 IBB, UK;

  • 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

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