[1H3-GS-1b] 基礎・理論：モデル化

[1H3-GS-1b-01] Reservoir computing using asynchronous cellular automata and universal criticality

〇Daisuke Uragami¹, Yukio Pegio Gunji² (1. Nihon University, 2. Waseda University)

Keywords:Reservoir Computing, Cellular Automaton, Universal Criticality

Reservoir computing (RC) using asynchronously tuned elementary cellular automata (AT_ECA) has been shown to have high learning ability. The goal of this study is to propose an index for analyzing the reservoir state and to investigate the relationship between the criticality of AT_ECA and the learning ability by the index. The results of this study reveal that the high learning ability of AT_ECA based RC derives from its universal criticality.