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Deliberative Argumentation for Smart Environments
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap. (Arcum)
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
2014 (engelsk)Inngår i: 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, s. 141-149Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Springer International Publishing , 2014. s. 141-149
Serie
Lecture Notes in Artificial Intelligence, ISSN 0302-9743 ; 8861
HSV kategori
Identifikatorer
URN: urn:nbn:se:umu:diva-98462DOI: 10.1007/978-3-319-13191-7_12ISI: 000345592100012ISBN: 978-3-319-13191-7 (tryckt)ISBN: 978-3-319-13190-0 (tryckt)OAI: oai:DiVA.org:umu-98462DiVA, id: diva2:784560
Konferanse
17th International Conference, Gold Coast, QLD Australia, December 1-5, 2014
Tilgjengelig fra: 2015-01-30 Laget: 2015-01-22 Sist oppdatert: 2018-06-07bibliografisk kontrollert

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