THOMAS-MALL: A Multiagent System for Shopping and Guidance in Malls

Rodríguez González, Sara; Fernández Gil, Alberto; Julián Inglada, Vicente; Corchado Rodríguez, Juan Manuel; Ossowski, Sascha; Botti, Vicente

Título

dc.contributor.author	Rodríguez González, Sara
dc.contributor.author	Fernández Gil, Alberto
dc.contributor.author	Julián Inglada, Vicente
dc.contributor.author	Corchado Rodríguez, Juan Manuel
dc.contributor.author	Ossowski, Sascha
dc.contributor.author	Botti, Vicente
dc.date.accessioned	2017-09-06T09:15:27Z
dc.date.available	2017-09-06T09:15:27Z
dc.date.issued	2009-06
dc.identifier.citation	Bio-Inspired Systems: Computational and Ambient Intelligence Lecture Notes in Computer Science. Lecture Notes in Computer Science. Volumen 5517, pp. 594-601.
dc.identifier.isbn	978-3-642-02477-1 (Print) / 978-3-642-02478-8 (Online)
dc.identifier.issn	0302-9743 (Print) / 1611-3349 (Online)
dc.identifier.uri	http://hdl.handle.net/10366/134984
dc.description.abstract	This 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.mimetype	application/pdf
dc.language.iso	en
dc.publisher	Springer Science + Business Media
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject	Computer Science
dc.title	THOMAS-MALL: A Multiagent System for Shopping and Guidance in Malls
dc.type	info:eu-repo/semantics/conferenceObject
dc.rights.accessRights	info:eu-repo/semantics/openAccess