Diverse consequences of algorithmic probability

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dc.citation.epage298en_US
dc.citation.spage285en_US
dc.citation.volumeNumber7070en_US
dc.contributor.authorÖzkural, Erayen_US
dc.coverage.spatialMelbourne, VIC, Australiaen_US
dc.date.accessioned2016-02-08T12:05:05Z
dc.date.available2016-02-08T12:05:05Z
dc.date.issued2013en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionDate of Conference: November 30 – December 2, 2011en_US
dc.descriptionConference name: Ray Solomonoff 85th Memorial Conferenceen_US
dc.description.abstractWe reminisce and discuss applications of algorithmic probability to a wide range of problems in artificial intelligence, philosophy and technological society. We propose that Solomonoff has effectively axiomatized the field of artificial intelligence, therefore establishing it as a rigorous scientific discipline. We also relate to our own work in incremental machine learning and philosophy of complexity. © 2013 Springer-Verlag Berlin Heidelberg.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T12:05:05Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2013en
dc.identifier.doi10.1007/978-3-642-44958-1_22en_US
dc.identifier.doi10.1007/978-3-642-44958-1en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/11693/27919en_US
dc.language.isoEnglishen_US
dc.publisherSpringer, Berlin, Heidelbergen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/978-3-642-44958-1-22en_US
dc.relation.isversionofhttps://doi.org/10.1007/978-3-642-44958-1en_US
dc.source.titleAlgorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligenceen_US
dc.subjectAlgorithmic probabilityen_US
dc.subjectScientific disciplineen_US
dc.subjectAlgorithmsen_US
dc.subjectArtificial intelligenceen_US
dc.subjectOntologyen_US
dc.subjectProbabilityen_US
dc.titleDiverse consequences of algorithmic probabilityen_US
dc.typeConference Paperen_US

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