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Representations and algorithms for cognitive learning
dc.contributor.authorKochen, Manfreden_US
dc.date.accessioned2006-04-07T16:43:48Z
dc.date.available2006-04-07T16:43:48Z
dc.date.issued1974en_US
dc.identifier.citationKochen, Manfred (1974)."Representations and algorithms for cognitive learning." Artificial Intelligence 5(3): 199-216. <http://hdl.handle.net/2027.42/22261>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6TYF-4808VTB-15/2/3b695cdde5cbee9c0d49f5869ab9cc64en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/22261
dc.description.abstractThis is a report summarizing our progress towards a theory of cognitive learning. It is concerned with an algorithm that recognizes, selects and formulates in an internal language problems that arise in an external environment. This algorithm revises its representation of the environment and uses it to cope with self-selected problems.The algorithm depends on the formation of hypotheses and their use to select actions. The key ideas of this project are major new additions to a theory of representation of knowledge built on an inductive predicate logic.en_US
dc.format.extent1352445 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleRepresentations and algorithms for cognitive learningen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelScience (General)en_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumMental Health Research Institute, University of Michigan, Ann Arbor, Mich. 48104, U.S.A.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/22261/1/0000698.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0004-3702(74)90013-7en_US
dc.identifier.sourceArtificial Intelligenceen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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