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首页> 外文会议>International Conference on Computational Science and Its Applications(ICCSA 2006) pt.1; 20060508-11; Glasgow(GB) >An Agent-Based Approach to Immune Modelling
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An Agent-Based Approach to Immune Modelling

机译：基于代理的免疫建模方法

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This study focuses on trying to understand why the range of experience with respect to HIV infection is so diverse, especially as regards to the latency period. The challenge is to determine what assumptions can be made about the nature of the experience of antigenic invasion and diversity that can be modelled, tested and argued plausibly. To investigate this, an agent-based approach is used to extract high-level behaviour which cannot be described analytically from the set of interaction rules at the cellular level. A prototype model encompasses local variation in baseline properties contributing to the individual disease experience and is included in a network which mimics the chain of lymphatic nodes. Dealing with massively multi-agent systems requires major computational efforts. However, parallelisation methods are a natural consequence and advantage of the multi-agent approach. These are implemented using the MPI library.
机译：这项研究的重点是试图了解为什么有关HIV感染的经验范围如此之多，尤其是在潜伏期方面。挑战在于确定可以对抗原入侵和多样性的经历的性质做出什么样的假设，这些假设可以被合理地建模，测试和争论。为了对此进行研究，使用了基于代理的方法来提取高级行为，这些行为无法从细胞级别的交互规则集中进行分析描述。原型模型包含基线特性的局部变化，这些变化有助于个体疾病的发生，并包含在模仿淋巴结链的网络中。处理大型多代理系统需要大量的计算工作。但是，并行化方法是多代理方法的自然结果和优点。这些是使用MPI库实现的。

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