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dc.contributor.authorLewis, Matthew
dc.contributor.authorCanamero, Lola
dc.date.accessioned2017-04-25T15:00:59Z
dc.date.available2017-04-25T15:00:59Z
dc.date.issued2016-10-12
dc.identifier.citationLewis , M & Canamero , L 2016 , ' Hedonic Quality or Reward? A Study of Basic Pleasure in Homeostasis and Decision Making of a Motivated Autonomous Robot ' , Adaptive Behavior , vol. 24 , no. 5 , pp. 267-291 . https://doi.org/10.1177/1059712316666331
dc.identifier.issn1059-7123
dc.identifier.urihttp://hdl.handle.net/2299/18006
dc.description© The Author (s) 2016. Published by SAGE. This is an Open Access article distributed under the terms of the Creative Commons Attribution 3.0 License (http://www.creativecommons.org/licenses/by/3.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
dc.description.abstractWe present a robot architecture and experiments to investigate some of the roles that pleasure plays in the decision making (action selection) process of an autonomous robot that must survive in its environment. We have conducted three sets of experiments to assess the effect of different types of pleasure---related versus unrelated to the satisfaction of physiological needs---under different environmental circumstances. Our results indicate that pleasure, including pleasure unrelated to need satisfaction, has value for homeostatic management in terms of improved viability and increased flexibility in adaptive behavior.en
dc.format.extent25
dc.format.extent6065938
dc.language.isoeng
dc.relation.ispartofAdaptive Behavior
dc.subjectaction selection
dc.subjectembodied autonomous robots
dc.subjecthomeostasis
dc.subjecthormonal modulation
dc.subjectmotivation and emotion
dc.subjectpleasure
dc.titleHedonic Quality or Reward? A Study of Basic Pleasure in Homeostasis and Decision Making of a Motivated Autonomous Roboten
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionAdaptive Systems
dc.description.statusPeer reviewed
dc.identifier.urlhttp://adb.sagepub.com/content/24/5/267.full.pdf+html
rioxxterms.versionofrecord10.1177/1059712316666331
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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