A formal measure of machine intelligence
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Legg, Shane
Hutter, Marcus
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Belgian-Dutch Conference on Machine Learning (Benelearn)
Abstract
A fundamental problem in artificial intelligence is that nobody really
knows what intelligence is. The problem is especially acute when we
need to consider artificial systems which are significantly different
to humans. In this paper we approach this problem in the following
way: We take a number of well known informal definitions of human
intelligence that have been given by experts, and extract their
essential features. These are then mathematically formalised to
produce a general measure of intelligence for arbitrary machines. We
believe that this measure formally captures the concept of machine
intelligence in the broadest reasonable sense.
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Proceedings of the 15th Annual Machine Learning Conference of Belgium and The Netherlands Benelearn'06