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arXiv · 1708.09546

Differentiable cellular automata

Carlos Martin
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Abstract

We describe a class of cellular automata (CAs) that are end-to-end differentiable. DCAs interpolate the behavior of ordinary CAs through rules that act on distributions of states. The gradient of a DCA with respect to its parameters can be computed with an iterative propagation scheme that uses previously-computed gradients and values. Gradient-based optimization over DCAs could be used to find ordinary CAs with desired properties.

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Carlos Martin. 2017-08-31. Differentiable cellular automata. https://arxiv.org/abs/1708.09546

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