Evolving a multiagent system for landmark-based robot navigation

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 evolutionar...

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Veröffentlicht in:	International journal of intelligent systems 2005-05, Vol.20 (5), p.523-539
Hauptverfasser:	Ambastha, Madhur, Busquets, Dídac, de Màntaras, Ramon López, Sierra, Carles
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Learning and adaptive systems Logical, boolean and switching functions Pattern recognition. Digital image processing. Computational geometry Theoretical computing
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Beschreibung
Zusammenfassung:	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. © 2005 Wiley Periodicals, Inc. Int J Int Syst 20: 523–539, 2005.
ISSN:	0884-8173 1098-111X
DOI:	10.1002/int.20079