Software and performance measures for evaluating multi-agent frameworks

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dc.contributor.author Camacho, David
dc.contributor.author Aler Mur, Ricardo
dc.date.accessioned 2009-11-30T13:01:12Z
dc.date.available 2009-11-30T13:01:12Z
dc.date.issued 2005
dc.identifier.bibliographicCitation Applied artificial intelligence. The international journal of artificial intelligence, neural networks, and complex problem-solving technologies 2005, vol. 19, n. 6, p. 645-657
dc.identifier.issn 0883-9514
dc.identifier.uri http://hdl.handle.net/10016/5866
dc.description.abstract Nowadays, multi-agent frameworks allow to implement very complex systems by means of agent technology. However, this complexity makes it more difficult to evaluate software and runtime characteristics of multiagent systems (MAS). Our aim is to define and study some quantitative measures to measure MAS aspects like development time, reusability, scalability, etc. These measures could be used by engineers to guide the selection among several MAS frameworks. Our study has been carried out in several MAS frameworks like JADE, JATLite, SkeletonAgent, and ZEUS, which have been used to build a MAS application for news retrieval.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Taylor & Francis
dc.rights © Taylor & Francis
dc.subject.other Artificial Intelligence
dc.title Software and performance measures for evaluating multi-agent frameworks
dc.type article
dc.type.review PeerReviewed
dc.description.status Publicado
dc.relation.publisherversion http://dx.doi.org/10.1080/08839510590962050
dc.subject.eciencia Informática
dc.identifier.doi 10.1080/08839510590962050
dc.rights.accessRights openAccess
dc.identifier.publicationfirstpage 645
dc.identifier.publicationissue 6
dc.identifier.publicationlastpage 657
dc.identifier.publicationtitle Applied artificial intelligence. The international journal of artificial intelligence, neural networks, and complex problem-solving technologies
dc.identifier.publicationvolume 19
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