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dc.contributor.authorMirza, N.A.
dc.contributor.authorNehaniv, C.L.
dc.contributor.authorDautenhahn, K.
dc.contributor.authorTe Boekhorst, R.
dc.date.accessioned2012-01-12T13:01:09Z
dc.date.available2012-01-12T13:01:09Z
dc.date.issued2005
dc.identifier.citationMirza , N A , Nehaniv , C L , Dautenhahn , K & Te Boekhorst , R 2005 , Using temporal information distance to locate sensorimotor experience in a metric space . in Procs 2005 Congress on Evolutionary Computation . vol. 2005 , pp. 150-157 .
dc.identifier.otherPURE: 515385
dc.identifier.otherPURE UUID: bd65fcf0-7744-43ee-83bd-c6a52cf4fb53
dc.identifier.otherdspace: 2299/1754
dc.identifier.otherScopus: 27144550397
dc.identifier.urihttp://hdl.handle.net/2299/7635
dc.description.abstractInformation distance is used to measure how similar sensorimotor experience is to past experience--within a certain temporal horizon. Applied to groups--of sensors this gives a mathematical metric on sensorimotor experience over time. We show that for complex data from a robot, large scale similarity of experience can be discovered from the robot perspective, providing a means of building an experiential interaction history.en
dc.language.isoeng
dc.relation.ispartofProcs 2005 Congress on Evolutionary Computation
dc.titleUsing temporal information distance to locate sensorimotor experience in a metric spaceen
dc.contributor.institutionSchool of Computer Science
rioxxterms.versionAM
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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