dc.contributor.author | Klyubin, A.S. | |
dc.contributor.author | Polani, D. | |
dc.contributor.author | Nehaniv, C.L. | |
dc.date.accessioned | 2013-01-15T12:28:58Z | |
dc.date.available | 2013-01-15T12:28:58Z | |
dc.date.issued | 2008 | |
dc.identifier.citation | Klyubin , 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.other | dspace: 2299/3152 | |
dc.identifier.other | ORCID: /0000-0002-3233-5847/work/86098108 | |
dc.identifier.uri | http://hdl.handle.net/2299/9650 | |
dc.description | Copyright: 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.abstract | The 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.format.extent | 428134 | |
dc.language.iso | eng | |
dc.relation.ispartof | PLoS ONE | |
dc.title | Keep Your Options Open : An Information-Based Driving Principle for Sensorimotor Systems | en |
dc.contributor.institution | Centre for Computer Science and Informatics Research | |
dc.contributor.institution | Adaptive Systems | |
dc.contributor.institution | Department of Computer Science | |
dc.contributor.institution | School of Physics, Engineering & Computer Science | |
dc.contributor.institution | Centre for Future Societies Research | |
dc.contributor.institution | Biocomputation Research Group | |
dc.description.status | Peer reviewed | |
rioxxterms.versionofrecord | 10.1371/journal.pone.0004018 | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |