WPI Center for Materials Nanoarchitectonics, National Institute for Materials Science, 1-1 Namiki, Tsukuba, Ibaraki 305-0044, Japan.
Sci Rep. 2013;3:2370. doi: 10.1038/srep02370.
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.
决策是人类大脑最重要的智力能力之一。在这里，我们提出了一种高效的决策系统，该系统利用量子点（QDs）之间的光能量转移，通过远低于光波长的光学近场相互作用来实现。模拟结果表明，我们的系统优于被认为是最适合人类决策行为的最佳拟合算法的 softmax 规则。这表明我们可以通过利用涉及量子点的光学近场相互作用的固有时空动力学来产生一种通过光能量转移来高效且自适应地做出决策的纳米系统。
