Theory of Acceleration of Decision-Making by Correlated Time Sequences
نویسندگان
چکیده
Photonic accelerators have been intensively studied to provide enhanced information processing capability benefit from the unique attributes of physical processes. Recently, it has reported that chaotically oscillating ultrafast time series a laser, called laser chaos, provides ability solve multi-armed bandit (MAB) problems or decision-making at GHz order. Furthermore, confirmed negatively correlated time-domain structure chaos contributes acceleration decision-making. However, underlying mechanism why is accelerated by unknown. In this study, we demonstrate theoretical model account for accelerating sequence. We first confirm effectiveness negative autocorrelation inherent in solving two-armed using Fourier transform surrogate methods. propose concerns subjected system and internal status therein unified manner, inspired random walks. performance derived analytically theory agrees well with numerical simulations, which confirms validity proposed leads optimal design. This study paves way improving decision-making, impacting artificial intelligence other applications.
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ژورنال
عنوان ژورنال: Complexity
سال: 2022
ISSN: ['1099-0526', '1076-2787']
DOI: https://doi.org/10.1155/2022/5205580