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Landmark-based approaches for goal recognition as planning

dc.contributor.authorPereira, Ramon Fraga
dc.contributor.authorOren, Nir
dc.contributor.authorMeneguzzi, Felipe
dc.date.accessioned2020-12-04T00:05:49Z
dc.date.available2020-12-04T00:05:49Z
dc.date.issued2020-02
dc.identifier.citationPereira , R F , Oren , N & Meneguzzi , F 2020 , ' Landmark-based approaches for goal recognition as planning ' , Artificial Intelligence , vol. 279 , 103217 . https://doi.org/10.1016/j.artint.2019.103217en
dc.identifier.issn0004-3702
dc.identifier.otherPURE: 149736894
dc.identifier.otherPURE UUID: 54c43d8c-e641-4738-a5a4-affd942c8d92
dc.identifier.otherArXiv: http://arxiv.org/abs/1904.11739v1
dc.identifier.otherScopus: 85076261632
dc.identifier.otherWOS: 000510313200009
dc.identifier.otherORCID: /0000-0002-4854-9014/work/79061952
dc.identifier.otherORCID: /0000-0003-3549-6168/work/110275976
dc.identifier.urihttps://hdl.handle.net/2164/15449
dc.descriptionThis article is a revised and extended version of two papers published at AAAI 2017 (Pereira et al., 2017b) and ECAI 2016 (Pereira and Meneguzzi, 2016). We thank the anonymous reviewers that helped improve the research in this article. The authors thank Shirin Sohrabi for discussing the way in which the algorithms of Sohrabi et al. (2016) should be configured, and Yolanda Escudero-Martın for providing code for the approach of E-Martın et al. (2015) and engaging with us. We also thank Miquel Ramırez and Mor Vered for various discussions, and Andre Grahl Pereira for a discussion of properties of our algorithm. Felipe thanks CNPq for partial financial support under its PQ fellowship, grant number 305969/2016-1.en
dc.format.extent32
dc.language.isoeng
dc.relation.ispartofArtificial Intelligenceen
dc.rights© 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectgoal recognitionen
dc.subjectAI planningen
dc.subjectlandmarksen
dc.subjectGoal recognitionen
dc.subjectSTRIPSen
dc.subjectLandmarksen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectArtificial Intelligenceen
dc.subjectLanguage and Linguisticsen
dc.subjectLinguistics and Languageen
dc.subjectSupplementary Dataen
dc.subject.lccQA75en
dc.titleLandmark-based approaches for goal recognition as planningen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Energyen
dc.contributor.institutionUniversity of Aberdeen.Agents at Aberdeenen
dc.contributor.institutionUniversity of Aberdeen.Human-Centred Computingen
dc.description.statusPeer revieweden
dc.description.versionPostprinten
dc.identifier.doihttps://doi.org/10.1016/j.artint.2019.103217
dc.date.embargoedUntil2020-12-04
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85076261632&partnerID=8YFLogxKen
dc.identifier.urlhttps://arxiv.org/abs/1904.11739v2en
dc.identifier.vol279en


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