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A THOMAS Based Multi-Agent System for Recommendations and Guidance in Malls
dc.contributor.authorRodríguez González, Sara 
dc.contributor.authorFernández Gil, Alberto
dc.contributor.authorJulián Inglada, Vicente
dc.contributor.authorOssowski, Sascha
dc.contributor.authorBotti, Vicente
dc.contributor.authorCorchado Rodríguez, Juan Manuel 
dc.date.accessioned2017-09-05T11:02:07Z
dc.date.available2017-09-05T11:02:07Z
dc.date.issued2009
dc.identifier.citationJournal of Physical Agents. Volumen 3 (2), pp. 21-26. Red de Agentes Físicos.
dc.identifier.issn1888-0258
dc.identifier.urihttp://hdl.handle.net/10045/12568
dc.identifier.urihttp://hdl.handle.net/10366/134425
dc.description.abstractThis article presents a case study in which the THOMAS architecture is applied in order to obtain a multi-agent system (MAS) that can provide recommendations and guidance in a shopping mall. THOMAS is made up of a group of related modules that are well-suited for developing systems in other highly volatile environments similar to a shopping mall. Because the development of this type of system is complex, it is essential to thoroughly analyze the intrinsic characteristics of typical environment applications, and to design all of the system components at a very high level of abstraction.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherRed de Agentes Físicos
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleA THOMAS Based Multi-Agent System for Recommendations and Guidance in Malls
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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