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DC Field | Value | Language |
---|---|---|
dc.contributor | Ministerio de Ciencia y Tecnología (España) | - |
dc.contributor | Generalidad de Cataluña | - |
dc.creator | Ambastha, Madhur | - |
dc.creator | Busquets, Didac | - |
dc.creator | Lopez de Mantaras, Ramon | - |
dc.creator | Sierra, Carles | - |
dc.date | 2008-02-20T10:37:01Z | - |
dc.date | 2008-02-20T10:37:01Z | - |
dc.date | 2005 | - |
dc.date.accessioned | 2017-01-31T01:00:17Z | - |
dc.date.available | 2017-01-31T01:00:17Z | - |
dc.identifier | International Journal of Intelligent Systems, 2005, 20(5): 523-539. | - |
dc.identifier | 0884-8173 | - |
dc.identifier | 0884-8173 | - |
dc.identifier | http://hdl.handle.net/10261/3003 | - |
dc.identifier | 10.002/int.20079 | - |
dc.identifier.uri | http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3003 | - |
dc.description | La publicación original está disponible en www.interscience.wiley.com | - |
dc.description | In 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.description | This 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.description | Peer reviewed | - |
dc.format | 263074 bytes | - |
dc.format | application/pdf | - |
dc.language | eng | - |
dc.publisher | John Wiley & Sons | - |
dc.rights | openAccess | - |
dc.subject | Artificial Intelligence | - |
dc.subject | Multiagent systems | - |
dc.subject | Robotics | - |
dc.subject | Evolutive computation | - |
dc.title | Evolving a Multiagent System for Landmark-based Robot Navigation | - |
dc.type | Artículo | - |
Appears in Collections: | Digital Csic |
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