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dc.contributor.authorBajo Pérez, Javier
dc.contributor.authorCorchado Rodríguez, Juan Manuel 
dc.contributor.authorPaz, Yanira de
dc.contributor.authorDe Paz, Juan F. 
dc.contributor.authorRodríguez González, Sara 
dc.contributor.authorMartín Martín, Quintín 
dc.date.accessioned2017-09-05T11:02:12Z
dc.date.available2017-09-05T11:02:12Z
dc.date.issued2009
dc.identifier.citationApplied Soft Computing. Volumen 9 (2), pp. 851-862. Elsevier BV.
dc.identifier.issn1568-4946 (Print)
dc.identifier.urihttp://hdl.handle.net/10366/134435
dc.description.abstractThis paper introduces the SHOMAS Multiagent System that provides guidance on leisure facilities and suggestions for shopping in malls. The multiagent architecture incorporates reactive and deliberative agents that take decisions automatically. The developed deliberative agent provides suggestions in execution time, with the help of case-based planners. This agent is described together with its guidance and suggestion mechanism. SHOMAS has been tested successfully, and the results obtained are presented in this paper.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherElsevier BV
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleSHOMAS: Intelligent guidance and suggestions in shopping centres
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.audience.educationLevelAbraham, Ajith P.


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