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arXiv 2109.12786cs.NEcs.LG
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自复制神经程序

Self-Replicating Neural Programs

Samuel Schmidgall

摘要:

在这项工作中,一个神经网络被训练来复制只使用自己的输出作为输入来训练它的代码。进化自我复制的神经程序中的一个范例,其中程序参数发生突变,和程序的能力,更有效地训练本身导致更大的繁殖成功。这种进化范式被证明可以在没有任何明确指导的情况下在生物体中产生更有效的学习,这仅仅是基于自然选择,有利于具有更快生殖成熟度的生物体。

英文摘要:

In this work, a neural network is trained to replicate the code that trains it using only its own output as input. A paradigm for evolutionary self-replication in neural programs is introduced, where program parameters are mutated, and the ability for the program to more efficiently train itself leads to greater reproductive success. This evolutionary paradigm is demonstrated to produce more efficient learning in organisms from a setting without any explicit guidance, solely based on natural selection favoring organisms with faster reproductive maturity.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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