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首页> 外文会议>International Symposium on Computer and Information Sciences(ISCIS 2004); 20041027-29; Kemer-Antalya(TR) >Biological Metaphors for Agent Behavior
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Biological Metaphors for Agent Behavior

机译：代理行为的生物隐喻

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摘要

A wide variety of practical problems related to the interaction of agents can be examined using biological metaphors. This paper applies the theory of G-networks to agent systems by considering a biological metaphor based on three types of entities: normal cells C, cancerous or bad cells B, and immune defense agents A which are used to destroy the bad cells B, but which sometimes have the effect of being able to destroy the good cells C as well (autoimmune response). Cells of type C can mutate into cells of Type B, and vice-versa. In the presence of probabilities of correct detection and false alarm on the part of agents of Type A, we examine how the dose of agent A will influence the desired outcome which is that most bad cells B are destroyed while the damage to cells C is limited to an acceptable level. In a second part of the paper we illustrate how a similar model can be used to represent a mixture of agents with the ability to cooperate as well as to compete.
机译：可以使用生物隐喻研究与试剂相互作用有关的各种实际问题。本文通过考虑基于三种类型实体的生物隐喻，将G网络理论应用于代理系统：正常细胞C，癌细胞或坏细胞B和用于破坏坏细胞B的免疫防御剂A，但是有时还具有破坏良好细胞C的作用（自身免疫反应）。 C型细胞可以突变为B型细胞，反之亦然。在类型A的部分药物存在正确检测和错误警报的可能性的情况下，我们检查了药物A的剂量将如何影响所需的结果，即大多数坏细胞B被破坏而对细胞C的损害有限达到可接受的水平。在本文的第二部分中，我们说明了如何使用相似的模型来表示具有协作和竞争能力的主体混合物。

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