Deakin University
Browse

File(s) under permanent embargo

Multiple-agent perspectives in reasoning about situations for context-aware pervasive computing systems

journal contribution
posted on 2008-07-01, 00:00 authored by A Padovitz, Seng LokeSeng Loke, Arkady ZaslavskyArkady Zaslavsky
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 the following: 1) a novel context model and reasoning approach developed with concepts from the state-space model, which describes context and situations as geometrical structures in a multidimensional space; and 2) a context algebra based on the model, which enables distributed reasoning by merging and partitioning context models that represent different perspectives of computing entities over the object of reasoning. We show how merging and reconciling different points of view over context enhances the outcomes of reasoning about the context. We develop and evaluate our proposed algebraic operators and reasoning approaches with cases using real sensors and with simulations. We embed agents and mobile agents with these modeling and reasoning capabilities, thus facilitating context-aware and adaptive mobile agents operating in open pervasive environments. © 2008 IEEE.

History

Journal

IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans

Volume

38

Pagination

729-742

Location

Piscataway, NJ

ISSN

1083-4427

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Issue

4

Publisher

IEEE

Usage metrics

    Research Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC