Understanding how biological systems solve problems could aid the design of novel computational methods. Information processing in unicellular eukaryotes is of particular interest, as these organisms have survived for more than a billion years using a simple system. The large amoeboid plasmodium of Physarum is able to solve a maze and to connect multiple food locations via a smart network. This study examined how Physarum amoebae compute these solutions. The mechanism involves the adaptation of the tubular body, which appears to be similar to a network, based on cell dynamics. Our model describes how the network of tubes expands and contracts depending on the flux of protoplasmic streaming, and reproduces experimental observations of the behavior of the organism. The proposed algorithm based on Physarum is simple and powerful.

中文翻译：

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Physarum amoebae 中的流网络适应。

了解生物系统如何解决问题有助于设计新的计算方法。单细胞真核生物的信息处理特别令人感兴趣，因为这些生物使用简单的系统已经存活了超过 10 亿年。Physarum 的大型变形虫疟原虫能够解决迷宫问题并通过智能网络连接多个食物位置。这项研究检查了 Physarum amoebae 如何计算这些解决方案。该机制涉及基于细胞动力学的管状体的适应性，这似乎类似于网络。我们的模型描述了管网络如何根据原生质流的通量膨胀和收缩，并再现了对生物体行为的实验观察。提出的基于 Physarum 的算法简单而强大。