University of Aberdeen logo

AURA - Aberdeen University Research Archive

 

Severity-sensitive norm-governed multi-agent planning

dc.contributor.authorGasparini, Luca
dc.contributor.authorNorman, Timothy J.
dc.contributor.authorKollingbaum, Martin J.
dc.contributor.institutionUniversity of Aberdeen.Natural & Computing Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.date.accessioned2017-07-25T10:00:20Z
dc.date.available2017-07-25T10:00:20Z
dc.date.issued2018-01
dc.descriptionThis research was funded by Selex ES. The software developed during this research, including the norm analysis and planning algorithms, the simulator and harbour protection scenario used during evaluation is freely available from doi:10.5258/SOTON/D0139en
dc.description.statusPeer revieweden
dc.format.extent33
dc.format.extent1153811
dc.identifier104706512
dc.identifiere6634ae6-401d-408c-98ad-d2d957dbbeff
dc.identifier85021914982
dc.identifier.citationGasparini, L, Norman, T J & Kollingbaum, M J 2018, 'Severity-sensitive norm-governed multi-agent planning', Autonomous Agents and Multi-Agent Systems, vol. 32, no. 1, pp. 26-58. https://doi.org/10.1007/s10458-017-9372-xen
dc.identifier.doi10.1007/s10458-017-9372-x
dc.identifier.iss1en
dc.identifier.issn1387-2532
dc.identifier.otherORCID: /0000-0001-8170-8374/work/42487892
dc.identifier.urihttp://hdl.handle.net/2164/8991
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85021914982&partnerID=8YFLogxKen
dc.identifier.vol32en
dc.language.isoeng
dc.relation.ispartofAutonomous Agents and Multi-Agent Systemsen
dc.subjectDec-POMDPsen
dc.subjectMulti-agent planningen
dc.subjectNormsen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectArtificial Intelligenceen
dc.subject.lccQA75en
dc.titleSeverity-sensitive norm-governed multi-agent planningen
dc.typeJournal articleen

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Severity_sensitive_norm_governed_multi_agent_planning.pdf
Size:
1.1 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
8.29 KB
Format:
Plain Text
Description: