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In this paper, we propose and demonstrate a system by which a global order is emerged by local interactions among distributed agents. To control a group of distributed agents, we need providing motion commands to the agents. However, employing a global communication system is not feasible for simple and anonymous agents. Thus, we propose a system inspired by slime molds. We utilize phase gradients emerged by oscillators programmed in the agents. We propose and implement a novel interaction method that incorporates relative orientation among agents in order to emerge asymmetric phase gradient. By analysis and experiments we verify the effectiveness of the proposed method.

This study proposes an oscillator network to model the long-lasting responses observed in neural circuits. The responses of the proposed network model are represented by the temporal synchronization of the oscillators. The response duration does not depend on the natural frequency of the oscillators, which allows the responses to last much longer than the oscillation period of the oscillators. We can control the response duration by tuning the connection strengths between the oscillators and the external signal that triggers the responses. It is possible to break and restart the responses regardless of the way in which the oscillators are connected.