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Evaluating the Apperception Engine

Published in arXiv (Cornell University) • Jul 9, 2020
NobleIDNI0P66W82R55S69
Authors:
Richard Evans
,
José Hernández‐Orallo
,
Johannes Welbl

Abstract

The Apperception Engine is an unsupervised learning system. Given a sequence of sensory inputs, it constructs a symbolic causal theory that both explains the sensory sequence and also satisfies a set of unity conditions. The unity conditions insist that the constituents of the theory - objects, prop...

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