Computer immunology
Computer immunology
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DOI：
10.1111/j.1600-065x.2007.00499.x
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发表时间：
2007-04
影响因子：
8.7
通讯作者：
Stephanie Forrest;Catherine Beauchemin
中科院分区：
文献类型：
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作者：
Stephanie Forrest;Catherine Beauchemin
摘要：这篇综述描述了关于计算免疫系统的一系列工作，这些系统的行为类似于自然免疫系统。这些人工免疫系统(AIS)模拟自然免疫系统的行为，在某些情况下已被用于解决计算机安全等实际工程问题。人工智能有几个优势可以补充湿实验室免疫学。更容易进行模拟实验和改变实验条件，例如，排除假说；更容易分离单个机制来测试关于它如何工作的假说；基于代理的免疫系统模型可以将来自几个不同实验的数据集成到一个电子实验系统中。
Summary: This review describes a body of work on computational immune systems that behave analogously to the natural immune system. These artificial immune systems (AIS) simulate the behavior of the natural immune system and in some cases have been used to solve practical engineering problems such as computer security. AIS have several strengths that can complement wet lab immunology. It is easier to conduct simulation experiments and to vary experimental conditions, for example, to rule out hypotheses; it is easier to isolate a single mechanism to test hypotheses about how it functions; agent‐based models of the immune system can integrate data from several different experiments into a single in silico experimental system.