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Dec, 2023
非对称的领导者-落后者集群同步用于激光网络的集体决策
Asymmetric leader-laggard cluster synchronization for collective decision-making with laser network
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Shun Kotoku, Takatomo Mihana, André Röhm, Ryoichi Horisaki, Makoto Naruse
TL;DR
利用混沌激光器和光子设备构建的机器学习能力及其重要性，通过量化稳定性分析，研究了集体决策的基本网络结构，展示了竞争多臂赌博问题中玩家的非对称偏好，扩展其功能以应用于更实际的场景。
Abstract
photonic accelerators
have recently attracted soaring interest, harnessing the ultimate nature of light for information processing.
collective decision-making
with a laser network, employing the chaotic and synch
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