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dc.contributor.authorHo, W.C.
dc.contributor.authorDautenhahn, K.
dc.date.accessioned2009-04-23T14:41:05Z
dc.date.available2009-04-23T14:41:05Z
dc.date.issued2008
dc.identifier.citationHo , W C & Dautenhahn , K 2008 , ' Towards a Narrative Mind: The Creation of Coherent Life Stories for Believable Virtual Agents ' , Lecture Notes in Computer Science , no. Intelligent Virtual Agents , pp. 59-72 . https://doi.org/10.1007/978-3-540-85483-8
dc.identifier.issn0302-9743
dc.identifier.otherPURE: 88850
dc.identifier.otherPURE UUID: e2f2fe48-e932-4cfc-a239-bc43ebcd91e0
dc.identifier.otherdspace: 2299/3283
dc.identifier.otherScopus: 52149107378
dc.identifier.urihttp://hdl.handle.net/2299/3283
dc.description“The original publication is available at www.springerlink.com”. Copyright Springer. DOI: 10.1007/978-3-540-85483-8_6
dc.description.abstractThis paper describes an approach to create coherent life stories for Intelligent Virtual Agents (IVAs) in order to achieve long-term believability. We integrate a computational autobiographic memory, which allows agents to remember significant past experiences and reconstruct their life stories from these experiences, into an emotion-driven planning architecture. Starting from the literature review on episodic memory modelling and narrative agents, we discuss design considerations for believable agents which interact with users repeatedly and over a long period of time. In the main body of the paper we present the narrative structure of human life stories. Based on this, we incorporate three essential discourse units and other characteristics into the design of the autobiographic memory structure. We outline part of the implementation of this memory architecture and describe the plan for evaluating the architecture in long-term user studies.en
dc.language.isoeng
dc.relation.ispartofLecture Notes in Computer Science
dc.rights/dk/atira/pure/core/openaccesspermission/open
dc.titleTowards a Narrative Mind: The Creation of Coherent Life Stories for Believable Virtual Agentsen
dc.contributor.institutionSchool of Computer Science
dc.description.statusPeer reviewed
dc.relation.schoolSchool of Computer Science
rioxxterms.versionofrecordhttps://doi.org/10.1007/978-3-540-85483-8
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue
herts.rights.accesstyperestrictedAccess


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