The Übercruncher: Concept Formation by Analogy Discovery

Marc Pickett

I present a novel approach to unsupervised concept formation based on analogy discovery, and guided by the principle of minimum description length. Preliminary results include autonomous creation of conceptual structures using a special case of analogy discovery, and a demonstration of a complete but inefficient batch version of the algorithm. I describe some shortcomings of the preliminary results, mostly concerning efficiency and local optima, and discuss how to address them.

Subjects: 12. Machine Learning and Discovery; 11.2 Ontologies

Submitted: Apr 19, 2007


This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.