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(Non-)Equivalence of universal priors

dc.contributor.authorWood, Ian
dc.contributor.authorSunehag, Peter
dc.contributor.authorHutter, Marcus
dc.date.accessioned2015-08-19T23:59:54Z
dc.date.available2015-08-19T23:59:54Z
dc.date.issued2011-11
dc.description.abstractRay Solomonoff invented the notion of universal induction featuring an aptly termed “universal” prior probability function over all possible computable environments [9]. The essential property of this prior was its ability to dominate all other such priors. Later, Levin introduced another construction — a mixture of all possible priors or “universal mixture”[12]. These priors are well known to be equivalent up to multiplicative constants. Here, we seek to clarify further the relationships between these three characterisations of a universal prior (Solomonoff’s, universal mixtures, and universally dominant priors). We see that the the constructions of Solomonoff and Levin define an identical class of priors, while the class of universally dominant priors is strictly larger. We provide some characterisation of the discrepancy.en_AU
dc.identifier.isbn978-3-642-44957-4en_AU
dc.identifier.issn0302-9743en_AU
dc.identifier.urihttp://hdl.handle.net/1885/14807
dc.publisherSpringer Verlagen_AU
dc.relationhttp://purl.org/au-research/grants/arc/DP0988049en_AU
dc.relation.ispartofAlgorithmic probability and friends : Bayesian prediction and artificial intelligence, papers from the Ray Solomonoff 85th memorial conference, Melbourne, Vic, Australia, November 30 - December 2, 2011en_AU
dc.rights© Springer-Verlag Berlin Heidelberg 2013. http://www.sherpa.ac.uk/romeo/issn/0302-9743/..."Author's post-print on any open access repository after 12 months after publication" from SHERPA/RoMEO site (as at 20/08/15)en_AU
dc.subjectalgorithmic information theoryen_AU
dc.subjectuniversal inductionen_AU
dc.subjectuniversal prioren_AU
dc.title(Non-)Equivalence of universal priorsen_AU
dc.typeConference paperen_AU
dcterms.accessRightsOpen Access
local.bibliographicCitation.lastpage425en_AU
local.bibliographicCitation.startpage417en_AU
local.contributor.affiliationWood, I., Research School of Computer Science, The Australian National Universityen_AU
local.contributor.affiliationSunehag, P., Research School of Computer Science, The Australian National Universityen_AU
local.contributor.affiliationHutter, M., Research School of Computer Science, The Australian National Universityen_AU
local.contributor.authoruidu4753099en_AU
local.identifier.citationvolume7070en_AU
local.identifier.doi10.1007/978-3-642-44958-1_33en_AU
local.type.statusAccepted Versionen_AU

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