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Merging context perspectives: An approach to adaptive agent reasoning in pervasive computing systems
conference contribution
posted on 2006-10-31, 00:00 authored by A Padovitz, Arkady ZaslavskyArkady Zaslavsky, Seng LokeSeng LokeIn open, heterogeneous, context-aware pervasive computing systems, suitable context models and reasoning approaches are necessary to enable collaboration and distributed reasoning among agents. This paper proposes, develops and demonstrates a novel approach to perform distributed reasoning by merging and partitioning context models that represent different perspectives over the object of reasoning. We show how merging different points of view contributes to an enhanced outcome in reasoning about context
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Event
IEEE PERCOMW'06 Pervasive Computing and Communications. Annual International Conference (4th : 2006 : Pisa, Italy)Pagination
612 - 615Publisher
Institute of Electrical and Electronics Engineers (IEEE)Location
Pisa, ItalyPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2006-03-13End date
2006-03-17ISBN-13
9780769525204ISBN-10
0769525202Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2006, IEEETitle of proceedings
IEEE PERCOMW'06 : Proceedings of the 4th Annual International Conference on Pervasive Computing and Communications WorkshopsUsage metrics
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