科学基礎論研究
Online ISSN : 1884-1236
Print ISSN : 0022-7668
ISSN-L : 0022-7668
論文
生命と人工知能におけるデザイン問題
大塚 淳
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ジャーナル フリー

2019 年 46 巻 2 号 p. 71-77

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This article aims to draw a connection between organismic evolution and machine learning as recursive optimization processes. Optimization of complex systems presupposes certain forms or designs of the input-output functions. Recent literatures in evolutionary developmental biology have discussed various design features of the genotype-phenotype mapping, including neardecomposability, generative entrenchment, standardization, plasticity, canalization, and scaffolding as means to solve complex adaptive problems through recursive evolution. I point out similar problems and/or techniques exist in the machine learning literature, and sketch some common features in these two distinct fields.

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© 2018 科学基礎論研究
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