Autonomic Policy-Based Collaboration for Cross-Agency Human Teams

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dc.contributor.authorCornwell, Mark
dc.contributor.authorJust, James
dc.contributor.authorKagal, Lalana
dc.contributor.authorFinin, Tim
dc.contributor.authorHuhns, Mike
dc.date.accessioned2018-12-13T19:35:01Z
dc.date.available2018-12-13T19:35:01Z
dc.date.issued2004-04-21
dc.descriptionConference on the Human Impact and Application of Autonomic Computing Systems (CHIACS2)en_US
dc.description.abstractDeclarative policies are useful for constraining autonomous behavior in open, distributed systems This enables more autonomy The Rei policy language and associate tools have provided a good base Semantic web languages (e.g., OWL) used, grounding descriptions in sharable, semantically rich, machine understandable ontologies We’re evaluating and exploring the utility of policies through prototype applications In one, Topsail, policies guide agents to help form, operate and maintain teams of people.en_US
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/155/Autonomic-Policy-Based-Collaboration-for-Cross-Agency-Human-Teamsen_US
dc.format.extent58 pagesen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/M2K931B02
dc.identifier.urihttp://hdl.handle.net/11603/12259
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectpervasive computingen_US
dc.subjectpolicyen_US
dc.subjectcross-agency human teamsen_US
dc.subjectsemantic weben_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleAutonomic Policy-Based Collaboration for Cross-Agency Human Teamsen_US
dc.typeTexten_US

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