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Open Problems in Universal Induction & Intelligence

Hutter, Marcus

Description

Specialized intelligent systems can be found everywhere: finger print, handwriting, speech, and face recognition, spam filtering, chess and other game programs, robots, et al. This decade the first presumably complete mathematical theory of artificial intelligence based on universal induction-prediction-decision-action has been proposed. This informationtheoretic approach solidifies the foundations of inductive inference and artificial intelligence. Getting the foundations right usually marks a...[Show more]

dc.contributor.authorHutter, Marcus
dc.date.accessioned2015-12-08T22:18:01Z
dc.identifier.issn1999-4893
dc.identifier.urihttp://hdl.handle.net/1885/31161
dc.description.abstractSpecialized intelligent systems can be found everywhere: finger print, handwriting, speech, and face recognition, spam filtering, chess and other game programs, robots, et al. This decade the first presumably complete mathematical theory of artificial intelligence based on universal induction-prediction-decision-action has been proposed. This informationtheoretic approach solidifies the foundations of inductive inference and artificial intelligence. Getting the foundations right usually marks a significant progress and maturing of a field. The theory provides a gold standard and guidance for researchers working on intelligent algorithms. The roots of universal induction have been laid exactly half-a-century ago and the roots of universal intelligence exactly one decade ago. So it is timely to take stock of what has been achieved and what remains to be done. Since there are already good recent surveys, I describe the state-of-the-art only in passing and refer the reader to the literature. This article concentrates on the open problems in universal induction and its extension to universal intelligence.
dc.publisherMolecular Diversity Preservation International
dc.rightsCopyright Information: © 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http:
dc.sourceAlgorithms
dc.subjectKeywords: Artificial intelligence; Information theory; Kolmogorov complexity; Rational agents; Reinforcement learning; Sequential decision theory; Universal Solomonoff induction
dc.titleOpen Problems in Universal Induction & Intelligence
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume3
dc.date.issued2009
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.ariespublicationu4708487xPUB80
local.type.statusPublished Version
local.contributor.affiliationHutter, Marcus, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.issue2
local.bibliographicCitation.startpage879
local.bibliographicCitation.lastpage906
local.identifier.doi10.3390/a2030879
dc.date.updated2016-02-24T11:20:50Z
local.identifier.scopusID2-s2.0-78049298765
CollectionsANU Research Publications

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