|
| This Article | ||
| ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
 Digg  Furl  Spurl  Blink  Simpy  Google  Del.icio.us  Y!MyWeb | ||
| Search | ||
| ||
Fourth IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06)
Merging Context Perspectives: An Approach to Adaptive Agent Reasoning in Pervasive Computing Systems
Pisa, Italy
March 13-March 17
ISBN: 0-7695-2520-2
| ASCII Text | x | ||
| Amir Padovitz, Arkady Zaslavsky, Seng W. Loke, "Merging Context Perspectives: An Approach to Adaptive Agent Reasoning in Pervasive Computing Systems," Pervasive Computing and Communications Workshops, IEEE International Conference on, pp. 612-615, Fourth IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06), 2006. | |||
| BibTex | x | ||
| @article{ 10.1109/PERCOMW.2006.80, author = {Amir Padovitz and Arkady Zaslavsky and Seng W. Loke}, title = {Merging Context Perspectives: An Approach to Adaptive Agent Reasoning in Pervasive Computing Systems}, journal ={Pervasive Computing and Communications Workshops, IEEE International Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2520-2}, pages = {612-615}, doi = {http://doi.ieeecomputersociety.org/10.1109/PERCOMW.2006.80}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Pervasive Computing and Communications Workshops, IEEE International Conference on TI - Merging Context Perspectives: An Approach to Adaptive Agent Reasoning in Pervasive Computing Systems SN - 0-7695-2520-2 SP612 EP615 A1 - Amir Padovitz, A1 - Arkady Zaslavsky, A1 - Seng W. Loke, PY - 2006 VL - 0 JA - Pervasive Computing and Communications Workshops, IEEE International Conference on ER - | |||
In 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.
Citation:
Amir Padovitz, Arkady Zaslavsky, Seng W. Loke, "Merging Context Perspectives: An Approach to Adaptive Agent Reasoning in Pervasive Computing Systems," percomw, pp.612-615, Fourth IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.