Evolving a Multiagent System for Landmark-based Robot Navigation
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In this paper, we build upon a multiagent architecture for unknown
environments landmark based navigation. 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.