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AGI and the Knight-Darwin Law: why idealized AGI reproduction requires collaboration
arXiv - CS - Other Computer Science Pub Date : 2020-05-09 , DOI: arxiv-2005.08801
Samuel Allen Alexander

Can an AGI create a more intelligent AGI? Under idealized assumptions, for a certain theoretical type of intelligence, our answer is: "Not without outside help". This is a paper on the mathematical structure of AGI populations when parent AGIs create child AGIs. We argue that such populations satisfy a certain biological law. Motivated by observations of sexual reproduction in seemingly-asexual species, the Knight-Darwin Law states that it is impossible for one organism to asexually produce another, which asexually produces another, and so on forever: that any sequence of organisms (each one a child of the previous) must contain occasional multi-parent organisms, or must terminate. By proving that a certain measure (arguably an intelligence measure) decreases when an idealized parent AGI single-handedly creates a child AGI, we argue that a similar Law holds for AGIs.

中文翻译:

AGI 和奈特达尔文定律:为什么理想化的 AGI 复制需要合作

AGI 能否创造出更智能的 AGI?在理想化的假设下,对于某种理论类型的智能,我们的答案是:“不能没有外部帮助”。这是一篇关于父 AGI 创建子 AGI 时 AGI 种群数学结构的论文。我们认为这些种群满足某种生物学规律。受对看似无性物种的有性生殖观察的启发,奈特-达尔文定律指出,一个生物体不可能无性繁殖另一个生物体,而另一个生物体又无性繁殖另一个,以此类推:任何生物体序列(每个生物体都是一个孩子)前一个)必须偶尔包含多亲生物,或者必须终止。通过证明当理想化的父 AGI 单手创建子 AGI 时,某种度量(可以说是智力度量)会降低,
更新日期:2020-05-19
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