The Autodidactic Universe

We present an approach to cosmology in which the Universe learns its own physical laws. It does so by exploring a landscape of possible laws, which we express as a certain class of matrix models. We discover maps that put each of these matrix models in correspondence with both a gauge/gravity theory and a mathematical model of a learning machine, such as a deep recurrent, cyclic neural network. This establishes a correspondence between each solution of the physical theory and a run of a neural network"Stephon Alexander1,2, William J. Cunningham3,4, Jaron Lanier5 , Lee Smolin3 , Stefan Stanojevic5,6, Michael W. Toomey1,5, and Dave Wecker5 1 Brown Theoretical Physics Center and Department of Physics" Etc.
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The universe
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