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Multi-Agent Intention Recognition and Progression

dc.contributor.authorDann, Michael
dc.contributor.authorYao, Yuan
dc.contributor.authorAlechina, Natasha
dc.contributor.authorLogan, Brian
dc.contributor.authorMeneguzzi, Felipe
dc.contributor.authorThangarajah, John
dc.contributor.institutionUniversity of Aberdeen.Agents at Aberdeenen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.date.accessioned2023-06-21T10:12:01Z
dc.date.available2023-06-21T10:12:01Z
dc.date.issued2023-08-19
dc.descriptionAcknowledgements For the purpose of open access, the authors have applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission.en
dc.format.extent9
dc.format.extent443750
dc.identifier281763652
dc.identifiere25cf89c-abdb-45a5-8c50-6d9a2bd21cee
dc.identifier85170374557
dc.identifier.citationDann, M, Yao, Y, Alechina, N, Logan, B, Meneguzzi, F & Thangarajah, J 2023, Multi-Agent Intention Recognition and Progression. in Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence : Main Track. IJCAI, pp. 91-99, IJCAI 2023, Macao, China, 19/06/23. https://doi.org/10.24963/ijcai.2023/11en
dc.identifier.citationconferenceen
dc.identifier.doi10.24963/ijcai.2023/11
dc.identifier.isbn978-1-956792-03-4
dc.identifier.otherORCID: /0000-0003-3549-6168/work/144558214
dc.identifier.otherORCID: /0000-0003-0648-7107/work/161798124
dc.identifier.urihttps://hdl.handle.net/2164/20951
dc.language.isoeng
dc.publisherIJCAI
dc.relation.ispartofProceedings of the Thirty-Second International Joint Conference on Artificial Intelligenceen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subject.lccQA75en
dc.titleMulti-Agent Intention Recognition and Progressionen
dc.typeConference itemen

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