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...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!