Reasoning about uncertain contexts in pervasive computing environments

Anand Ranganathan, Jalal Al-Muhtadi, Roy H. Campbell

Research output: Contribution to journalArticlepeer-review


A prototype pervasive computing infrastructure, Gaia, which allows applications and services to reason about uncertainty, using an uncertainty model, is described. The model is based on a predicate representation of contexts and associated confidence values, and uses mechanisms like probabilistic logic, fuzzy logic, and Bayesian networks. Gaia's context infrastructure provides services and libraries that help entities acquire and reason about uncertain contextual information. Access control decisions in Gaia use fuzzy reasoning, and Bayesian network is used for troubleshooting the environment.

Original languageEnglish (US)
Pages (from-to)62-70
Number of pages9
JournalIEEE Pervasive Computing
Issue number2
StatePublished - Apr 2004

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Computational Theory and Mathematics


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