An Approximation of the Universal Intelligence Measure
Artificial Intelligence
2011-10-03 v2
Abstract
The Universal Intelligence Measure is a recently proposed formal definition of intelligence. It is mathematically specified, extremely general, and captures the essence of many informal definitions of intelligence. It is based on Hutter's Universal Artificial Intelligence theory, an extension of Ray Solomonoff's pioneering work on universal induction. Since the Universal Intelligence Measure is only asymptotically computable, building a practical intelligence test from it is not straightforward. This paper studies the practical issues involved in developing a real-world UIM-based performance metric. Based on our investigation, we develop a prototype implementation which we use to evaluate a number of different artificial agents.
Keywords
Cite
@article{arxiv.1109.5951,
title = {An Approximation of the Universal Intelligence Measure},
author = {Shane Legg and Joel Veness},
journal= {arXiv preprint arXiv:1109.5951},
year = {2011}
}
Comments
14 pages