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dc.contributor.authorJames, Isaac
dc.contributor.authorStone, Christopher Luciano
dc.contributor.authorToniolo, Alice
dc.contributor.editorPakrashi, Arjun
dc.contributor.editorRushe, Ellen
dc.contributor.editorBazargani, Mehran Hossein Zadeh
dc.contributor.editorMac Namee, Brian
dc.date.accessioned2022-06-29T15:30:26Z
dc.date.available2022-06-29T15:30:26Z
dc.date.issued2022-03-11
dc.identifier280286918
dc.identifier59c416f9-57f0-4a36-a502-01fb85a31563
dc.identifier85126629577
dc.identifier.citationJames , I , Stone , C L & Toniolo , A 2022 , Debated backpropagation . in A Pakrashi , E Rushe , M H Z Bazargani & B Mac Namee (eds) , Artificial Intelligence and Cognitive Science 2021 : The 29th Irish Conference on Artificial Intelligence and Cognitive Science 2021 Dublin, Republic of Ireland, December 9-10, 2021 . CEUR Workshop Proceedings , pp. 260-271 , 29th Irish Conference on Artificial Intelligence and Cognitive Science , Dublin , Ireland , 9/12/19 . < http://ceur-ws.org/Vol-3105/ >en
dc.identifier.citationconferenceen
dc.identifier.issn1613-0073
dc.identifier.otherORCID: /0000-0002-6816-6360/work/109766775
dc.identifier.urihttps://hdl.handle.net/10023/25580
dc.description.abstractDialogue has long been used in human society to explain seemingly opaque concepts. In this paper we focus on how to better explain training models for neural networks, to entertain as well as inform. We present a multi-agent argumentation-based dialogue system to generate human understandable dialogue to explain backpropagation. The system incorporates a model of agent personality and introduces social elements between agents to produce characterful discussion. Natural language templates are used to render utterances in English.
dc.format.extent12
dc.format.extent394332
dc.language.isoeng
dc.relation.ispartofArtificial Intelligence and Cognitive Science 2021en
dc.relation.ispartofseriesCEUR Workshop Proceedingsen
dc.subjectBackpropogationen
dc.subjectExplanationen
dc.subjectArgumentationen
dc.subjectDialogueen
dc.subjectNLGen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectNSen
dc.subject.lccQA75en
dc.titleDebated backpropagationen
dc.typeConference itemen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.contributor.institutionUniversity of St Andrews. Centre for Interdisciplinary Research in Computational Algebraen
dc.identifier.urlhttp://ceur-ws.org/Vol-3105/en


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