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dc.contributor.authorTrendafilov, Dari
dc.contributor.authorPolani, Daniel
dc.date.accessioned2018-10-09T01:11:28Z
dc.date.available2018-10-09T01:11:28Z
dc.date.issued2018-09-27
dc.identifier.citationTrendafilov , D & Polani , D 2018 , ' Information parsimony in collaborative interaction ' EUCognition , Hamburg , Germany , 27/09/18 - 28/09/18 , .
dc.identifier.citationconference
dc.identifier.otherPURE: 15467871
dc.identifier.otherPURE UUID: f33a88e6-2ae8-49f9-931d-d54db1c3a355
dc.identifier.urihttp://hdl.handle.net/2299/20694
dc.description.abstractWe investigate the information processing cost associated with performing a collaborative dyadic task at a specific utility level. We build our approach on the Relevant Information formalism, which combines Shannon's Information Theory and Markov Decision Processes, for modelling a dyadic interaction scenario in which two agents with independent controllers move an object together with fully redundant control. Results show that increasing dyad's collaboration decreases the information intake and vice versa, antagonistic behavior puts a strain on the information bandwidth capacity. The key role of the particular embodiment of the environment in this trade-off is demonstrated in a series of simulations with informationally parsimonious optimal controllers.en
dc.language.isoeng
dc.rightsOpen
dc.titleInformation parsimony in collaborative interactionen
dc.contributor.institutionAdaptive Systems
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.description.statusPeer reviewed
dc.relation.schoolSchool of Computer Science
dc.description.versiontypeFinal Published version
dcterms.dateAccepted2018-09-27
rioxxterms.versionVoR
rioxxterms.licenseref.uriUnspecified
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeOpen


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