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dc.contributor.authorRanathunga, Surangika
dc.contributor.authorCranefield, Stephen
dc.contributor.authorPurvis, Martin
dc.date.available2013-06-10T23:39:07Z
dc.date.copyright2012
dc.identifier.citationSurangika Ranathunga, Stephen Cranefield and Martin Purvis, Identifying Events Taking Place in Second Life Virtual Environments, Applied Artificial Intelligence, 26(1-2):137-181, 2012en_NZ
dc.identifier.issn0883-9514
dc.identifier.urihttp://hdl.handle.net/10523/4069
dc.descriptionThis is the Author's Accepted Manuscript of the following article: Surangika Ranathunga, Stephen Cranefield & Martin Purvis, Identifying Events Taking Place in Second Life Virtual Environments, Applied Artificial Intelligence, 26(1-2):137-181, 2012. © 2012 Taylor & Francis Group, LLC. Available online at http://www.tandfonline.com/doi/abs/10.1080/08839514.2012.629559.en_NZ
dc.description.abstractSecond Life is one of the most popular multi-purpose online virtual worlds, which supports applications in diversified areas relating to real-life activities. Moreover, it is possible to use Second Life in testing Artificial Intelligence theories by creating intelligent virtual agents. For the successful implementation of many of these applications, it is important to accurately identify events taking place inside Second Life. This involves extracting low-level spatio-temporal data and identifying the embedded high-level domain-specific information. This is an aspect that has not been taken into consideration in the prior research related to Second Life. This paper presents a framework that extracts data from Second Life with high accuracy and high frequency, and identifies the high-level domain-specific events and other contextual information embedded in these low-level data. This is guided by our virtual environment formalism, which defines events and states in a virtual environment. This framework is further enhanced to be connected with multiagent development platforms, thus demonstrating its use in the area of Artificial Intelligence.en_NZ
dc.format.mimetypeapplication/pdf
dc.language.isoenen_NZ
dc.publisherTaylor & Francisen_NZ
dc.relation.ispartofApplied Artificial Intelligenceen_NZ
dc.subjectSecond Lifeen_NZ
dc.subjectVirtual worldsen_NZ
dc.subjectEvent recognitionen_NZ
dc.subjectIntelligent virtual agentsen_NZ
dc.titleIdentifying Events Taking Place in Second Life Virtual Environmentsen_NZ
dc.typeJournal Articleen_NZ
dc.date.updated2013-06-10T22:17:58Z
otago.schoolInformation Scienceen_NZ
otago.relation.issue1-2en_NZ
otago.relation.volume26en_NZ
dc.identifier.doi10.1080/08839514.2012.629559en_NZ
otago.bitstream.endpage181en_NZ
otago.bitstream.startpage137en_NZ
otago.openaccessOpenen_NZ
dc.rights.statement© 2012 Taylor & Francis Group, LLC.en_NZ
dc.description.refereedPeer Revieweden_NZ
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