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dc.contributor.authorSavarimuthu, Bastin Tony Roy
dc.date.available2011-05-05T23:46:45Z
dc.date.copyright2011-05
dc.identifier.citationSavarimuthu, B. T. R. (2011). Norm learning in multi-agent societies (Information Science Discussion Papers Series No. 2011/05). Retrieved from http://hdl.handle.net/10523/1690en
dc.identifier.issn1177-455X
dc.identifier.urihttp://hdl.handle.net/10523/1690
dc.description.abstractIn Normative Multi-Agent Systems (NorMAS), researchers have investigated several mechanisms for agents to learn norms. In the context of agents learning norms, the objectives of the paper are three-fold. First, this paper aims at providing an overview of different mechanisms employed by researchers for norm learning. Second, it discusses the contributions of different mechanisms to the three aspects of active learning namely learning by doing, observing and com- municating. Third, it compares two normative architectures which have an emphasis on the learning of norms. It also discusses the features that should be considered in future norm learning architectures.en_NZ
dc.format.mimetypeapplication/pdf
dc.language.isoenen_NZ
dc.relation.ispartofseriesInformation Science Discussion Papers Series
dc.titleNorm learning in multi-agent societiesen_NZ
dc.typeDiscussion Paperen_NZ
otago.schoolInformation Scienceen_NZ
otago.openaccessOpen
otago.relation.number2011/05
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