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dc.contributor.authorLones, John
dc.contributor.authorLewis, Matthew
dc.contributor.authorCañamero, Lola
dc.date.accessioned2018-06-27T17:04:03Z
dc.date.available2018-06-27T17:04:03Z
dc.date.issued2018-06-01
dc.identifier.citationLones , J , Lewis , M & Cañamero , L 2018 , ' A Hormone-Driven Epigenetic Mechanism for Adaptation in Autonomous Robots ' , IEEE Transactions on Cognitive and Developmental Systems , vol. 10 , no. 2 , pp. 445-454 . https://doi.org/10.1109/TCDS.2017.2775620
dc.identifier.issn2379-8920
dc.identifier.otherRIS: urn:6853514ADB32CAF66C71287222E74E0C
dc.identifier.urihttp://hdl.handle.net/2299/20199
dc.description.abstractDifferent epigenetic mechanisms provide biological organisms with the ability to adjust their physiology and/or morphology and adapt to a wide range of challenges posed by their environments. In particular, one type of epigenetic process, in which hormone concentrations are linked to the regulation of hormone receptors, has been shown to have implications for behavioral development. In this paper, taking inspiration from these biological processes, we investigate whether an epigenetic model based on the concept of hormonal regulation of receptors can provide a similarly robust and general adaptive mechanism for autonomous robots. We have implemented our model using a Koala robot, and tested it in a series of experiments in six different environments with varying challenges to negotiate. Our results, including the emergence of varied behaviors that permit the robot to exploit its current environment, demonstrate the potential of our epigenetic model as a general mechanism for adaptation in autonomous robots.en
dc.format.extent10
dc.format.extent2090550
dc.language.isoeng
dc.relation.ispartofIEEE Transactions on Cognitive and Developmental Systems
dc.subjectAllostasis
dc.subjectautonomous robot
dc.subjectemergent behavior
dc.subjectepigenetic development
dc.subjecthormonal modulation
dc.subjectSoftware
dc.subjectArtificial Intelligence
dc.titleA Hormone-Driven Epigenetic Mechanism for Adaptation in Autonomous Robotsen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionAdaptive Systems
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionCentre for Engineering Research
dc.contributor.institutionCommunications and Intelligent Systems
dc.description.statusPeer reviewed
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85035804954&partnerID=8YFLogxK
rioxxterms.versionofrecord10.1109/TCDS.2017.2775620
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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