Distributed Reasoning with Conflicts in an Ambient Peer-to-Peer Setting

Antonis Bikakis, Grigoris Antoniou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)


In ambient environments, there coexist many different entities that collect, process, and change the available context information. Although they all share the same context, they face it from different viewpoints based on their perceptive capabilities, experiences and goals. Moreover, they are expected to use distinct vocabularies; they may even have different levels of sociality. This diversity raises additional research challenges in the study of Distributed Artificial Intelligence. In this paper, we present an algorithm for reasoning with distributed rule theories in an ambient setting. The algorithm models the participating agents as nodes in a peer-to-peer system, and considers the potential conflicts that may arise during the integration of the distributed theories taking into account some special characteristics of context knowledge and ambient agents.

Original languageEnglish
Title of host publicationConstructing Ambient Intelligence
Subtitle of host publicationAmI 2007 Workshops, Revised Papers
EditorsMax Muhlhauser, Alois Ferscha, Erwin Aitenbichler
Place of PublicationBerlin
PublisherSpringer-Verlag Berlin Heidelberg
Number of pages10
Volume11 CCIS
ISBN (Electronic)9783540853794
ISBN (Print)9783540853787
Publication statusPublished - 4 Aug 2008
Externally publishedYes
EventEuropean Conference on Ambient Intelligence - Darmstadt, Germany
Duration: 7 Nov 200710 Nov 2007

Publication series

NameCommunications in Computer and Information Science
PublisherSpringer-Verlag Berlin Heidelberg
Volume11 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937


ConferenceEuropean Conference on Ambient Intelligence
Abbreviated titleAmI 2007


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