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arXiv 1607.02168cs.ET
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在Slime Mould中发现布尔门

Discovering Boolean Gates in Slime Mould

Simon Harding, Jan Koutnik, Klaus Greff, Jurgen Schmidhuber, Andy Adamatzky

摘要:

多头绒泡菌黏菌是一种具有丰富空间非线性电特性的大型细胞。我们利用黏菌的电特性来实现逻辑门,使用灵活的硬件平台,设计用于调查基板(MECOBO)的电特性。我们应用任意的电信号来“配置”黏菌,即改变其身体的形状,并测量黏菌的电响应。我们表明,它是可能的,以找到配置,允许绒泡菌作为任何2输入布尔门。对在粘液中发现的门的出现频率进行了分析,并与在其他非常规材料中获得的逻辑门的复杂性层次进行了比较。通过扫描真实材料中的配置以及训练基于神经网络的模型并使用梯度下降搜索其中的门来执行对门的搜索。

英文摘要:

Slime mould of Physarum polycephalum is a large cell exhibiting rich spatial non-linear electrical characteristics. We exploit the electrical properties of the slime mould to implement logic gates using a flexible hardware platform designed for investigating the electrical properties of a substrate (MECOBO). We apply arbitrary electrical signals to `configure' the slime mould, i.e. change shape of its body and, measure the slime mould's electrical response. We show that it is possible to find configurations that allow the Physarum to act as any 2-input Boolean gate. The occurrence frequency of the gates discovered in the slime was analysed and compared to complexity hierarchies of logical gates obtained in other unconventional materials. The search for gates was performed by both sweeping across configurations in the real material as well as training a neural network-based model and searching the gates therein using gradient descent.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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