arXiv:1109.5951cs.AI
An Approximation of the Universal Intelligence Measure
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.
https://arxiv.org/abs/cs/0605024 gives a formal model of intelligence (achieving high reward in an agent/environment setup, across all computable environments weighted by their Kolmogorov complexity) https://arxiv.org/abs/1109.5951 gives a computable approximation (dubbed AIQ…
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