摘要翻译：
树突状细胞是一种抗原提呈细胞，在天然免疫系统和适应性免疫系统之间提供了重要的联系。对这一细胞家族的研究表明，它们扮演着协调基于T细胞的免疫反应的角色，既有反应性的，也有产生耐受的。我们基于这些细胞的功能推导出了一种算法，并利用这些信号和分化途径建立了人工免疫系统的控制机制。我们给出了我们的算法细节以及一些初步的结果，其中该算法应用于异常检测的目的。我们希望该算法最终能够成为一个基于良好免疫学概念的大型分布式免疫系统中的关键组成部分。
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英文标题：
《Introducing Dendritic Cells as a Novel Immune-Inspired Algorithm for
  Anomoly Detection》
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作者：
Julie Greensmith, Uwe Aickelin, Steve Cayzer
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最新提交年份：
2010
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Artificial Intelligence        人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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一级分类：Computer Science        计算机科学
二级分类：Neural and Evolutionary Computing        神经与进化计算
分类描述：Covers neural networks, connectionism, genetic algorithms, artificial life, adaptive behavior. Roughly includes some material in ACM Subject Class C.1.3, I.2.6, I.5.
涵盖神经网络，连接主义，遗传算法，人工生命，自适应行为。大致包括ACM学科类C.1.3、I.2.6、I.5中的一些材料。
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英文摘要：
  Dendritic cells are antigen presenting cells that provide a vital link between the innate and adaptive immune system. Research into this family of cells has revealed that they perform the role of coordinating T-cell based immune responses, both reactive and for generating tolerance. We have derived an algorithm based on the functionality of these cells, and have used the signals and differentiation pathways to build a control mechanism for an artificial immune system. We present our algorithmic details in addition to some preliminary results, where the algorithm was applied for the purpose of anomaly detection. We hope that this algorithm will eventually become the key component within a large, distributed immune system, based on sound immunological concepts.
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PDF链接：
https://arxiv.org/pdf/1004.3196