Universal intelligence: a definition of machine intelligence

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dc.contributor.authorLegg, Shane
dc.contributor.authorHutter, Marcus
dc.date.accessioned2015-08-27T01:57:15Z
dc.date.available2015-08-27T01:57:15Z
dc.date.issued2007-12
dc.description.abstractA 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 equation formally captures the concept of machine intelligence in the broadest reasonable sense. We then show how this formal definition is related to the theory of universal optimal learning agents. Finally, we survey the many other tests and definitions of intelligence that have been proposed for machines.en_AU
dc.description.sponsorshipSNF grant 200020-107616.en_AU
dc.identifier.issn0924-6495en_AU
dc.identifier.urihttp://hdl.handle.net/1885/14995
dc.publisherSpringer Verlagen_AU
dc.rights© Springer Science+Business Media B.V. 2007. http://www.sherpa.ac.uk/romeo/issn/0924-6495/..."Author's post-print on any open access repository after 12 months after publication" from SHERPA/RoMEO site (as at 27/08/15)en_AU
dc.sourceMinds and Machinesen_AU
dc.subjectAIXIen_AU
dc.subjectComplexity theoryen_AU
dc.subjectIntelligenceen_AU
dc.subjectTheoretical foundationsen_AU
dc.subjectTuring testen_AU
dc.subjectIntelligence testsen_AU
dc.subjectMeasures Definitionsen_AU
dc.titleUniversal intelligence: a definition of machine intelligenceen_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.issue4en_AU
local.bibliographicCitation.lastpage444en_AU
local.bibliographicCitation.startpage391en_AU
local.contributor.affiliationHutter, M., Research School of Computer Science, The Australian National Universityen_AU
local.contributor.authoremailmarcus.hutter@anu.edu.auen_AU
local.contributor.authoruidu4350841en_AU
local.identifier.citationvolume17en_AU
local.identifier.doi10.1007/s11023-007-9079-xen_AU
local.identifier.uidSubmittedByu1005913en_AU
local.publisher.urlhttp://link.springer.com/en_AU
local.type.statusAccepted Versionen_AU

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