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Computing by Swarm Networks

机译:群体网络计算

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Though the regular and fixed structure of cellular automata greatly contributes to their simplicity, it imposes a strict limitation on the applications that can be modeled by them. This paper proposes swarm networks, a model in which cells, unlike in cellular automata, have irregular neighborhoods. Timed asynchronously, a cell in this model acts like an agent that can dynamically interact with a varying set of other cells under the control of transition rules. The configurations in which cells are organized according to their neighborhoods can move around in space, following simple mechanical laws. We prove computational universality of this model by simulating a circuit consisting of asynchronously timed circuit modules. The proposed model may find applications in nanorobotic systems and artifical biological systems.
机译:尽管细胞自动机的规则和固定结构极大地简化了它们的操作,但是它对可以由它们建模的应用程序施加了严格的限制。本文提出了群体网络,该模型中的细胞与细胞自动机不同,具有不规则的邻域。异步计时,此模型中的单元像代理一样,可以在过渡规则的控制下与一组变化的其他单元动态交互。遵循简单的机械定律,根据其邻域组织细胞的配置可以在空间中移动。通过仿真由异步定时电路模块组成的电路,我们证明了该模型的计算通用性。所提出的模型可以在纳米机器人系统和人工生物系统中找到应用。

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