Search:
Computing and Library Services - delivering an inspiring information environment

Defeasible Contextual Reasoning with Arguments in Ambient Intelligence

Bikakis, Antonis and Antoniou, Grigoris (2010) Defeasible Contextual Reasoning with Arguments in Ambient Intelligence. IEEE Transactions on Knowledge and Data Engineering, 22 (11). pp. 1492-1506. ISSN 1041-4347

[img] PDF - Published Version
Restricted to Repository staff only

Download (793kB)

    Abstract

    The imperfect nature of context in Ambient Intelligence environments and the special characteristics of the entities that possess and share the available context information render contextual reasoning a very challenging task. The accomplishment of this task requires formal models that handle the involved entities as autonomous logic-based agents and provide methods for handling the imperfect and distributed nature of context. This paper proposes a solution based on the Multi-Context Systems paradigm in which local context knowledge of ambient agents is encoded in rule theories (contexts), and information flow between agents is achieved through mapping rules that associate concepts used by different contexts. To handle imperfect context, we extend Multi-Context Systems with nonmonotonic features: local defeasible theories, defeasible mapping rules, and a preference ordering on the system contexts. On top of this model, we have developed an argumentation framework that exploits context and preference information to resolve potential conflicts caused by the interaction of ambient agents through the mappings, and a distributed algorithm for query evaluation.

    Item Type: Article
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Schools: School of Computing and Engineering
    Related URLs:
    Depositing User: Grigoris Antoniou
    Date Deposited: 03 Jul 2012 13:29
    Last Modified: 03 Jul 2012 13:29
    URI: http://eprints.hud.ac.uk/id/eprint/13991

    Document Downloads

    Downloader Countries

    More statistics for this item...

    Item control for Repository Staff only:

    View Item

    University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©