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dc.contributor.authorKlyubin, A.S.
dc.contributor.authorPolani, D.
dc.contributor.authorNehaniv, C.L.
dc.date.accessioned2013-01-15T12:28:58Z
dc.date.available2013-01-15T12:28:58Z
dc.date.issued2008
dc.identifier.citationKlyubin , A S , Polani , D & Nehaniv , C L 2008 , ' Keep Your Options Open : An Information-Based Driving Principle for Sensorimotor Systems ' , PLoS ONE , vol. 3 , no. 12 , e4018 . https://doi.org/10.1371/journal.pone.0004018
dc.identifier.otherPURE: 88430
dc.identifier.otherPURE UUID: 503031a1-53c4-4f32-b705-5579254920e9
dc.identifier.otherdspace: 2299/3152
dc.identifier.otherScopus: 58149185146
dc.identifier.otherORCID: /0000-0002-3233-5847/work/86098108
dc.identifier.urihttp://hdl.handle.net/2299/9650
dc.descriptionCopyright: 2008 Klyubin et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. http://www.plosone.org/ DOI: 10.1371/journal.pone.0004018
dc.description.abstractThe central resource processed by the sensorimotor system of an organism is information. We propose an information-based quantity that allows one to characterize the efficiency of the perception-action loop of an abstract organism model. It measures the potential of the organism to imprint information on the environment via its actuators in a way that can be recaptured by its sensors, essentially quantifying the options available and visible to the organism. Various scenarios suggest that such a quantity could identify the preferred direction of evolution or adaptation of the sensorimotor loop of organisms.en
dc.language.isoeng
dc.relation.ispartofPLoS ONE
dc.titleKeep Your Options Open : An Information-Based Driving Principle for Sensorimotor Systemsen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionAdaptive Systems
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionCentre for Future Societies Research
dc.description.statusPeer reviewed
rioxxterms.versionofrecordhttps://doi.org/10.1371/journal.pone.0004018
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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