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dc.contributor.authorSiebra, C
dc.contributor.authorTate, Austin
dc.date.accessioned2008-05-22T13:36:54Z
dc.date.available2008-05-22T13:36:54Z
dc.date.issued2004-02
dc.identifier.citationSiebra, C. and Tate, A. (2004) Implementing Hierarchical Agent-Human Teamworks via Constraint-Based Models. Proceedings of the International Conference on Artificial Intelligence and Applications (AIA-2004), as part of the Twenty-Second IASTED International Multi-Conference on Applied Informatics, Innsbruck, Austria, February 2004en
dc.identifier.isbn0-88986-404-7
dc.identifier.issn1027-2666
dc.identifier.urihttp://www.aiai.ed.ac.uk/project/ix/documents/2004/2004-iasted-aia-siebra-irescue.pdf
dc.identifier.urihttp://hdl.handle.net/1842/2223
dc.descriptionThe University of Edinburgh and research sponsors are authorised to reproduce and distribute reprints and on-line copies for their purposes notwithstanding any copyright annotation hereon. The views and conclusions contained herein are the author’s and shouldn’t be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of other parties.en
dc.description.abstractThe teamwork research defines several important concepts regarding the design of agents so that they are in fact able to play as members of a collaborative group. Currently such research has been focused on multiagent domains, where agents have full autonomy to take decisions. However this model is not common in real applications where humans may wish to be in control for critical decisions. This paper discusses the use of a constraint-based ontology to create models of mixed-initiative interaction for teamworks. Furthermore we show a practical application on how hierarchical users can use this approach during operations in critical domains.en
dc.contributor.sponsorCAPES Foundation, DARPA, US Air Force Research Laboratoryen
dc.format.extent287424 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherACTA Pressen
dc.subjectInformaticsen
dc.subjectmixed-initiative planningen
dc.subjectontologyen
dc.subjectteamworken
dc.subjectComputer Scienceen
dc.subjectArtificial Intelligence Applications Institute
dc.titleImplementing Hierarchical Agent-Human Teamworks via Constraint-Based Modelsen
dc.typeConference Paperen


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