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dc.date.accessioned 2012-09-25T15:30:34Z
dc.date.available 2012-09-25T15:30:34Z
dc.date.issued 2003
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/21455
dc.description.abstract Mobile agent development is mainly supported by Java-based platforms. However, the weak mobility model they use, added to the inherent complexity of building location-aware software, impose strong limitations for developing mobile agents. In this article we present MoviLog, a platform for building Prolog-based mobile agents with a strong mobility model. The major contribution of MoviLog is its Reactive Mobility by Failure (RMF) mechanism. MRF is a mechanism that acts when an agent needs a resource that is not available at the current executing site. RMF uses a distributed multi-agent system to transparently transport the executing agent to the site where the resource is available, thus reducing the development effort with respect of traditional platforms, while maintaining its advantages en
dc.format.extent 440-444 es
dc.language en es
dc.subject Reactive Mobility en
dc.subject ARTIFICIAL INTELLIGENCE es
dc.subject Failure en
dc.subject Intelligent agents es
dc.title Reactive mobility by failure en
dc.type Objeto de conferencia es
sedici.creator.person Zunino, Alejandro es
sedici.description.note Eje: Inteligencia artificial 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 2003-05 es
sedici.relation.event V Workshop de Investigadores en 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)