Behavioural Coordination in Acoustically Coupled Agents
نویسنده
چکیده
Approaching behaviour is studied in simulated agents interacting acous-tically. A genetic algorithm is used to evolve a fully recurrent, continuous neural network for controlling the agents. Evolved agents actively discriminate the location of external sources of sound. Their own signalling behaviour is integrated with their search behaviour and sensor gain regulation through self-hearing. Coupled agents show signs of structural congruence as they perform dancing patterns in space, while the same agents behave very diierently when acting on their own or in the presence of a source of sound that imitates their signal patterns.
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