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dc.date.accessioned 2012-11-02T19:56:16Z
dc.date.available 2012-11-02T19:56:16Z
dc.date.issued 2007
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/23575
dc.description.abstract In this paper a multiagent Tourism Recommender System is presented. This system has a multiagent architecture and one of its main agents, The Travel Assistant Agent (T-Agent), is modelled as a graded BDI agent. The graded BDI agent model allows to specify an agent’s architecture able to deal with the environment uncertainty and with graded mental attitudes. We focus on the implementational aspects of the multiagent system and specially on the T-Agent development, going from the theoric agent model to the concrete agent implementation. en
dc.format.extent 1548-1562 es
dc.language en es
dc.subject turismo es
dc.subject recommender systems en
dc.subject Multiagent systems es
dc.subject graded BDI agents en
dc.title A tourism recommender agent: From theory to practice en
dc.type Objeto de conferencia es
sedici.creator.person Casali, Ana es
sedici.creator.person Von Furth, Armando es
sedici.creator.person Sierra, Carles es
sedici.creator.person Godo, Lluís es
sedici.subject.materias Ciencias Informáticas es
sedici.subject.materias Informática es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2007-10
sedici.relation.event XIII Congreso Argentino de Ciencias de la Computación es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)