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dc.contributor.authorvan Dijk, S.
dc.contributor.authorPolani, D.
dc.date.accessioned2011-10-19T13:03:30Z
dc.date.available2011-10-19T13:03:30Z
dc.date.issued2011
dc.identifier.citationvan Dijk , S & Polani , D 2011 , Look-ahead relevant information : Reducing cognitive burden over prolonged tasks . in Procs of 2011 IEEE Symposium on Artificial Life . 1st edn , Symposium Series on Computational Intelligence - IEEE ALIFE 2011 , Institute of Electrical and Electronics Engineers (IEEE) , pp. 46-53 , ALIFE 2011 , Paris , France , 11/04/11 . https://doi.org/10.1109/ALIFE.2011.5954664
dc.identifier.citationconference
dc.identifier.isbn978-161284063-5
dc.identifier.otherPURE: 424282
dc.identifier.otherPURE UUID: 348895ef-a064-4958-bf64-3fc8b154638d
dc.identifier.otherScopus: 80051661023
dc.identifier.otherORCID: /0000-0002-3233-5847/work/86098132
dc.identifier.urihttp://hdl.handle.net/2299/6730
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dc.description.abstractBased on the fact that information processing is costly, we study in this paper the trade-off between performance and informational requirements. Most importantly, we are interested in how local decisions can alleviate future cognitive burden, measured by the amount of sensory information an agent processes, without conceding performance. We introduce lookahead information as a novel concept to capture the long-term informational requirements and present an iterative method to determine the value of this quantity. Using an example problem, we show how these long-term considerations enable an agent to predict future effects of its actions on its informational burden, and to shape the course of the world to achieve more informationally parsimonious behaviour.en
dc.format.extent8
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofProcs of 2011 IEEE Symposium on Artificial Life
dc.relation.ispartofseriesSymposium Series on Computational Intelligence - IEEE ALIFE 2011
dc.titleLook-ahead relevant information : Reducing cognitive burden over prolonged tasksen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
rioxxterms.versionSMUR
rioxxterms.versionofrecordhttps://doi.org/10.1109/ALIFE.2011.5954664
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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