著者

谷 淳

出版者

日本認知科学会

雑誌

認知科学 (ISSN:13417924)

巻号頁・発行日

vol.28, no.2, pp.222-230, 2021-06-01 (Released:2021-06-15)

参考文献数

23

被引用文献数

1

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Ikegami considers that cognitive systems are constantly exposed to excess observational data, from which it acquires the subtractive representations rather than the contractions that deep learning aims for. Furthermore, he argues that a glimpse of life as the basic principle of cognition can be seen in the moment when the contraction collapses. The current commentary discusses these points by making possible correspondences to the cognitive robotics studies conducted by the author and his colleagues.