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On the Use of Symbolic Data Analysis to Model Communication Environments

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Date
2008
Collection title
Lecture Notes in Computer Science
Collection Id
5180
Dewey
Programmation, logiciels, organisation des données
Sujet
Environment as Active Support for Interaction model (EASI); Symbolic Data Analysis; multi-agent systems
DOI
http://dx.doi.org/10.1007/978-3-540-85834-8_19
Conference name
12th International Workshop on Cooperative Information Agents XII , CIA 2008
Conference date
09-2008
Conference city
Prague
Conference country
République tchèque
Book title
Cooperative Information Agents XII 12th International Workshop, CIA 2008, Prague, Czech Republic, September 10-12, 2008. Proceedings
Author
Klusch, Matthias; Pěchouček, Michal; Polleres, Axel
Publisher
Springer
Publisher city
Berlin
Year
2008
ISBN
978-3-540-85833-1
Book URL
http://dx.doi.org/10.1007/978-3-540-85834-8
URI
https://basepub.dauphine.fr/handle/123456789/12858
Collections
  • LAMSADE : Publications
Metadata
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Author
Balbo, Flavien
Saunier, Julien
Type
Communication / Conférence
Item number of pages
234-248
Abstract (EN)
Recent research on multi-party communications shows how multi-agent communications can take advantage of the complexity of the human communication process. The salient point is the very nature of the communication channels which enable humans to focus their attention on ambient communications, as well as to direct their own communications. For multi-agent systems, the difficulty is the routing of messages according to both the needs of the sender and the needs of the (potential) recipients . This difficulty is compounded by the necessity of taking into account the context of this communication. This article proposes an architecture for the Environment as Active Support for Interaction model (EASI) which is based on a classification data model and supports multiparty communication. Our proposition has been implemented and the functional description of the environment is given.

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