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Author Xiangdong An ♦ Jutla, D. ♦ Cercone, N.
Sponsorship IEEE Comput. Soc. ♦ WIC ♦ ACM
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2006
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Context ♦ Context-aware services ♦ Privacy ♦ Multiagent systems ♦ Bayesian methods ♦ Optimized production technology ♦ Finance ♦ Bismuth ♦ Mediation ♦ Personal digital assistants
Abstract Contexts in ubiquitous environments, either sensed or interpreted, are usually ambiguous. However, to provide context-aware services and applications, agents in the environments need to have an as clear as possible understanding of their contexts. Ambiguous contexts can be made clearer by agents using inference based on their domain knowledge, local and global evidence. Bayesian networks have been proposed to represent and reason about uncertain contexts under the single agent paradigm. In distributed multiagent systems, multiply sectioned Bayesian networks (MSBNs) provide a coherent framework for distributed multiagent probabilistic inference, where agents' privacy is respected. In this paper, we propose to apply MSBNs to uncertain contexts representation and reasoning in ubiquitous environments
Description Author affiliation: Dept. of Finance, Inf. Syst., & Manage. Sci., Saint Mary's Univ., Halifax, NS (Xiangdong An; Jutla, D.)
ISBN 0769527477
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2006-12-18
Publisher Place China
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 140.06 kB
Page Count 7
Starting Page 801
Ending Page 807


Source: IEEE Xplore Digital Library