| 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 |
|