A Formal Measure of Machine Intelligence

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dc.creatorLegg, Shane
dc.creatorHutter, Marcus
dc.date2006-05-06
dc.date.accessioned2026-07-07T07:09:28Z
dc.date.available2026-07-07T07:09:28Z
dc.descriptionA 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.
dc.description8 two-column pages
dc.identifierhttps://arxiv.org/abs/cs/0605024
dc.identifierhttp://arxiv.org/abs/cs/0605024
dc.identifierProc. 15th Annual Machine Learning Conference of {B}elgium and The Netherlands (Benelearn 2006) pages 73-80
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/111072
dc.subjectArtificial Intelligence
dc.subjectMachine Learning
dc.titleA Formal Measure of Machine Intelligence
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