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无限大、随机布线的传感器除非接近确定性,否则无法预测其输入。

Infinitely large, randomly wired sensors cannot predict their input unless they are close to deterministic.

机构信息

Department of Physics, Physics of Living Systems Group, Massachusetts Institute of Technology, Cambridge, MA, United States of America.

出版信息

PLoS One. 2018 Aug 29;13(8):e0202333. doi: 10.1371/journal.pone.0202333. eCollection 2018.

Abstract

Building predictive sensors is of paramount importance in science. Can we make a randomly wired sensor "good enough" at predicting its input simply by making it larger? We show that infinitely large, randomly wired sensors are nonspecific for their input, and therefore nonpredictive of future input, unless they are close to deterministic. Nearly deterministic, randomly wired sensors can capture ∼ 10% of the predictive information of their inputs for "typical" environments.

摘要

在科学领域,构建预测传感器至关重要。我们能否仅仅通过增大随机布线传感器的尺寸使其在预测输入方面“足够好”?我们表明,无限大的随机布线传感器对其输入具有非特异性,因此无法预测未来的输入,除非它们接近确定性。对于“典型”环境,几乎确定性的随机布线传感器可以捕获其输入的约 10%的预测信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dff2/6114800/5956e3148254/pone.0202333.g001.jpg

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