Self-Organization in an Artificial Immune Network System

被引：0
|
作者：
Franzolini, Julien [1 ]
Olivier, Damien [1 ]
机构：
[1] Univ Le Havre, LITIS, F-76058 Le Havre, France
来源：
COMPLEX SYSTEMS AND SELF-ORGANIZATION MODELLING | 2009年
关键词：
AIS; immune network; idiotypic network; self-organisation;
D O I：
10.1007/978-3-540-88073-8_7
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Artificial Immune System field uses of the natural immune system, as a metaphor for computational problems. The immune system exhibits a highly distributed, adaptive and self-organizing behavior. Furthermore it can learn to recognize shapes with its adaptive memory. The approach explored is inspired by an immune network model like Stewart-Varela's model. This model is designed to better understand the memory and cognition properties. Emergent antibodies configurations are studied on this immune network model; indeed these configurations seem like cellular automata configurations and appear with self-organizing properties.
引用
收藏
页码：71 / 82
页数：12
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