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Biologically inspired self-organizing networks 被引量:2
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作者 Naoki WAKAMIYA kenji leibnitz Masayuki MURATA 《智能系统学报》 2009年第4期369-375,共7页
Information networks are becoming more and more complex to accommodate a continuously increasing amount of traffic and networked devices,as well as having to cope with a growing diversity of operating environments and... Information networks are becoming more and more complex to accommodate a continuously increasing amount of traffic and networked devices,as well as having to cope with a growing diversity of operating environments and applications. Therefore,it is foreseeable that future information networks will frequently face unexpected problems,some of which could lead to the complete collapse of a network. To tackle this problem,recent attempts have been made to design novel network architectures which achieve a high level of scalability,adaptability,and robustness by taking inspiration from self-organizing biological systems. The objective of this paper is to discuss biologically inspired networking technologies. 展开更多
关键词 人工智能 人工神经网络 自动推理 专家系统
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