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Deliberative Argumentation for Smart Environments
Umeå University, Faculty of Science and Technology, Department of Computing Science. (Arcum)
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2014 (English)In: PRIMA 2014: Principles and Practice of Multi-Agent Systems / [ed] Hoa Khanh Dam, Jeremy Pitt, Yang Xu, Guido Governatori, Takayuki Ito, Springer International Publishing , 2014, 141-149 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, an argumentation-based deliberative approach for fusing contextual information obtained from heterogeneous sources using a multi-agent system is introduced. The system is characterized by three different agents: an Environment Agent, an Activity Agent and a Coach Agent. These agents consider data from heterogenous sources of data. As a method for aggregating data and supporting decision-making, so-called agreement rules are instrumental in the argumentation-based deliberative method. The aggregation rules will be associated to specific beliefs related to the services of each agent.

Place, publisher, year, edition, pages
Springer International Publishing , 2014. 141-149 p.
Series
Lecture Notes in Artificial Intelligence, ISSN 0302-9743 ; 8861
National Category
Other Computer and Information Science
Identifiers
URN: urn:nbn:se:umu:diva-98462DOI: 10.1007/978-3-319-13191-7_12ISI: 000345592100012ISBN: 978-3-319-13191-7 (print)ISBN: 978-3-319-13190-0 (print)OAI: oai:DiVA.org:umu-98462DiVA: diva2:784560
Conference
17th International Conference, Gold Coast, QLD Australia, December 1-5, 2014
Available from: 2015-01-30 Created: 2015-01-22 Last updated: 2016-09-08Bibliographically approved

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Nieves, Juan CarlosGuerrero, EstebanBaskar, JayalakshmiLindgren, Helena
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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • nn-NB
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  • Other locale
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