Garrett Simon M
Computational Biology Group, Department of Computer Science, University of Wales, Aberystwyth, Wales SY23 3DB, UK.
Evol Comput. 2005 Summer;13(2):145-77. doi: 10.1162/1063656054088512.
The field of Artificial Immune Systems (AIS) concerns the study and development of computationally interesting abstractions of the immune system. This survey tracks the development of AIS since its inception, and then attempts to make an assessment of its usefulness, defined in terms of 'distinctiveness' and 'effectiveness.' In this paper, the standard types of AIS are examined--Negative Selection, Clonal Selection and Immune Networks--as well as a new breed of AIS, based on the immunological 'danger theory.' The paper concludes that all types of AIS largely satisfy the criteria outlined for being useful, but only two types of AIS satisfy both criteria with any certainty.
人工免疫系统（AIS）领域关注对免疫系统进行具有计算意义的抽象概念的研究与开发。本综述追溯了AIS自诞生以来的发展历程，然后尝试从“独特性”和“有效性”的角度对其有用性进行评估。本文研究了AIS的标准类型——阴性选择、克隆选择和免疫网络——以及基于免疫学“危险理论”的新型AIS。本文的结论是，所有类型的AIS在很大程度上都满足被认为有用的标准，但只有两种类型的AIS能确定地同时满足这两个标准。
