利用进化的数字生物构建通信网络

David B. Knoester, P. McKinley
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引用次数: 3

摘要

本文描述了一项研究,其中称为数字生物的小型计算机程序被进化成在虚拟环境中构建通信网络。通过各种选择压力的应用,我们展示了这些生物如何首先进化到建立并随后使用这些网络来完成集体交流任务,特别是在生物之间有效地分配数据。我们的实验结果表明,进化算法可以发现构建解决通信任务的网络的行为,可能导致新的分布式算法家族,其中网络的底层逻辑结构自动自适应以适应应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Constructing Communication Networks with Evolved Digital Organisms
This paper describes a study where small computer programs called digital organisms are evolved to construct communication networks in a virtual environment. Through the application of various selection pressures, we show how these organisms first evolve to build, and subsequently use, these networks for a collective communication task, specifically the efficient distribution of data among organisms. The results of our experiments demonstrate that evolutionary algorithms can discover behaviors for constructing networks that solve communication tasks, potentially leading to a new family of distributed algorithm where the underlying logical structure of the network automatically self-adapts to suit the application.
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