认知分组网络

Proceedings 11th International Conference on Tools with Artificial Intelligence Pub Date : 1999-11-08 DOI:10.1109/TAI.1999.809765

E. Gelenbe, Zhiguang Xu, Esin Seref

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引用次数: 159

摘要

我们提出认知包网络(CPN)，其中路由和流量控制的智能功能集中在包中，而不是在节点和协议中。在CPN路由本身的认知数据包。他们在进入网络之前就被分配了目标，并自适应地追求这些目标。认知包从它们自己对网络的观察中学习，也从它们通过邮箱与之交换信息的其他包的经验中学习。认知数据包对路由器的依赖最小。本文描述了CPN，并展示了学习如何支持认知包的智能行为。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Cognitive packet networks

We propose cognitive packet networks (CPN) in which intelligent capabilities for routing and flow control are concentrated in the packets, rather than in the nodes and protocols. Cognitive packets within a CPN route themselves. They are assigned goals before entering the network and pursue these goals adaptively. Cognitive packets learn from their own observations about the network and from the experience of other packets with whom they exchange information via mailboxes. Cognitive packets rely minimally on routers. This paper describes CPN and shows how learning can support intelligent behavior of cognitive packets.

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Proceedings 11th International Conference on Tools with Artificial Intelligence

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