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dc.date.accessioned 2012-11-09T12:56:37Z
dc.date.available 2012-11-09T12:56:37Z
dc.date.issued 2006-08
dc.identifier.uri https://sedici.unlp.edu.ar/handle/10915/23943
dc.description.abstract In a highly competitive market, BT1 faces tough challenges as a service provider for telecommunication solutions. A proactive approach to the management of its resources is absolutely mandatory for its success. In this paper, an AI-based planning system for the management of parts of BT’s field force is presented. FieldPlan provides resource managers with full visibility of supply and demand, offers extensive what-if analysis capabilities and thus supports an effective decision making process. en
dc.language en es
dc.subject Planificación es
dc.subject Architectures es
dc.subject Scheduling es
dc.subject Multiagent systems es
dc.title An agent solution to flexible planning and scheduling of passenger trips en
dc.type Objeto de conferencia es
sedici.identifier.isbn 0-387-34654-6 es
sedici.creator.person Cubillos, Claudio es
sedici.creator.person Guidi-Polanco, Franco es
sedici.description.note IFIP International Conference on Artificial Intelligence in Theory and Practice - Industrial Applications of AI es
sedici.subject.materias Ciencias Informáticas 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 2006-08
sedici.relation.event 19 th IFIP World Computer Congress - WCC 2006 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) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)