Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3003
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dc.contributorMinisterio de Ciencia y Tecnología (España)-
dc.contributorGeneralidad de Cataluña-
dc.creatorAmbastha, Madhur-
dc.creatorBusquets, Didac-
dc.creatorLopez de Mantaras, Ramon-
dc.creatorSierra, Carles-
dc.date2008-02-20T10:37:01Z-
dc.date2008-02-20T10:37:01Z-
dc.date2005-
dc.date.accessioned2017-01-31T01:00:17Z-
dc.date.available2017-01-31T01:00:17Z-
dc.identifierInternational Journal of Intelligent Systems, 2005, 20(5): 523-539.-
dc.identifier0884-8173-
dc.identifier0884-8173-
dc.identifierhttp://hdl.handle.net/10261/3003-
dc.identifier10.002/int.20079-
dc.identifier.urihttp://dspace.mediu.edu.my:8181/xmlui/handle/10261/3003-
dc.descriptionLa publicación original está disponible en www.interscience.wiley.com-
dc.descriptionIn this article, we build upon a multiagent architecture for landmark-based navigation in unknown environments. In this architecture, each of the agents in the navigation system has a bidding function that is controlled by a set of parameters. We show here the good results obtained by an evolutionary approach that tunes the parameter set values for two navigation tasks.-
dc.descriptionThis work has been partially supported by the Spanish MCYT project QUALNAVEX (DPI2003-05193-C02-02), Dídac Busquets enjoys a CIRIT doctoral scholarship 2000FI-00191.-
dc.descriptionPeer reviewed-
dc.format263074 bytes-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherJohn Wiley & Sons-
dc.rightsopenAccess-
dc.subjectArtificial Intelligence-
dc.subjectMultiagent systems-
dc.subjectRobotics-
dc.subjectEvolutive computation-
dc.titleEvolving a Multiagent System for Landmark-based Robot Navigation-
dc.typeArtículo-
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