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An adaptive framework for monitoring agent organizations

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An adaptive framework for monitoring agent organizations

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dc.contributor.author Alberola Oltra, Juan Miguel es_ES
dc.contributor.author Búrdalo Rapa, Luis Antonio es_ES
dc.contributor.author Julian Inglada, Vicente Javier es_ES
dc.contributor.author Terrasa Barrena, Andrés Martín es_ES
dc.contributor.author García-Fornes, A es_ES
dc.date.accessioned 2015-06-18T12:53:31Z
dc.date.available 2015-06-18T12:53:31Z
dc.date.issued 2014-04
dc.identifier.issn 1387-3326
dc.identifier.uri http://hdl.handle.net/10251/51907
dc.description The final publication is available at Springer via http://dx.doi.org/10.1007/s10796-013-9478-x es_ES
dc.description.abstract Multiagent technologies are usually considered to be suitable for constructing agent organizations that are capable of running in dynamic and distributed environments and that are able to adapt to changes as the system runs. The necessary condition for this adaptation ability is to make agents aware of significant changes in both the environment and the organization. This paper presents mechanism, which helps agents detecting adaptation requirements dynamically at run time, and an Trace&Trigger, which is an adaptation framework for agent organizations. It consists of an event-tracing-based monitoring mechanism that provides organizational agents with information related to the costs and benefits of carrying out an adaptation process at each moment of the execution. This framework intends to overcome some of the problems that are present in other approaches by allowing the dynamic specification of the information that has to be retrieved by each agent at each moment for adaptation deliberation, avoiding the transference of useless information for adaptation deliberation. This framework has been integrated in the Magentix2 multiagent platform. In order to test its performance benefits for any agent organization, an example based on a market scenario is also presented es_ES
dc.description.sponsorship This work has been supported by projects TIN2011-27652-C03-01 and TIN2012-36586-C03-01. en_EN
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation TIN2011-27652-C03-01 es_ES
dc.relation TIN2012-36586-C03-01 es_ES
dc.relation.ispartof Information Systems Frontiers es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Monitoring es_ES
dc.subject Organization es_ES
dc.subject Adaptation es_ES
dc.subject Event es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title An adaptive framework for monitoring agent organizations es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s10796-013-9478-x
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Alberola Oltra, JM.; Búrdalo Rapa, LA.; Julian Inglada, VJ.; Terrasa Barrena, AM.; García-Fornes, A. (2014). An adaptive framework for monitoring agent organizations. Information Systems Frontiers. 16(2):239-256. doi:10.1007/s10796-013-9478-x es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://link.springer.com/article/10.1007%2Fs10796-013-9478-x es_ES
dc.description.upvformatpinicio 239 es_ES
dc.description.upvformatpfin 256 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 16 es_ES
dc.description.issue 2 es_ES
dc.relation.senia 280303
dc.identifier.eissn 1572-9419


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