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Decision Maker based on Nanoscale Photo-excitation Transfer
Description
Decision-making is one of the most important intellectual abilities of the human brain. Here we propose an efficient decision-making system which uses optical energy transfer between quantum dots (QDs) mediated by optical near-field interactions occurring at scales far below the wavelength of light. The simulation results indicate that our system outperforms the softmax rule, which is known as the best-fitting algorithm for human decision-making behaviour. This suggests that we can produce a nano-system which makes decisions efficiently and adaptively by exploiting the intrinsic spatiotemporal dynamics involving QDs mediated by optical near-field interactions.
Journal
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- Scientific Reports
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Scientific Reports 3 (1), 2370-, 2013-08-09
Springer Science and Business Media LLC
