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Please use this identifier to cite or link to this item: http://hdl.handle.net/10016/5866

Google™ Scholar. Others By: Camacho, David - Aler, Ricardo
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Title: Software and performance measures for evaluating multi-agent frameworks
Author(s): Camacho, David
Aler, Ricardo
Publisher: Taylor & Francis
Issued date: 2005
Citation: Applied artificial intelligence. The international journal of artificial intelligence, neural networks, and complex problem-solving technologies 2005, vol. 19, n. 6, p. 645-657
URI: http://hdl.handle.net/10016/5866
ISSN: 0883-9514
DOI: http://dx.doi.org/10.1080/08839510590962050
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.
Review: PeerReviewed
Publisher version: http://dx.doi.org/10.1080/08839510590962050
Keywords: Artificial Intelligence
Rights: © Taylor & Francis
Appears in Collections:DI - GCERN - Artículos de revistas científicas

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