Cellular Automata Models Simulating Slime Mould Computing

Cellular Automata Models Simulating Slime Mould Computing
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模拟粘菌计算的元胞自动机模型

DOI:
10.1007/978-3-319-26662-6_27
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发表时间:
2016
影响因子:
3.4
通讯作者:
A. Adamatzky
A. Adamatzky
中科院分区:
--
文献类型:
--
作者:
Michail;G. Sirakoulis;A. Adamatzky

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黏模计算机已被用来解决图形理论问题,如迷宫和评估人造交通网络。为了证明这些计算能力的实验室实验,黏菌首先被饿死,然后被引入一个关键位置放置有引诱剂的区域。在这些实验室实验中的黏菌的行为已被模拟的模型的基础上的细胞自动机(CA)。软件模型相对于真实的黏菌的优势在于可重复性和更快的结果生成。使用CA可以通过从局部相互作用中出现全局行为来证明,这一规则也适用于真实的黏菌。将该模型的结果与实验室实验中产生的结果进行了比较,发现迷宫求解和网络设计都具有良好的一致性。在对实验室实验进行全面检查后,开发了一个更新的模型,该模型产生了更有效的网络。由于模型被参数化以产生略有差异的结果,因此研究了这些参数的影响。
Slime mould computers have been used to solve graph-theoretical problems like mazes and evaluate man-made transport networks. For the laboratory experiments that demonstrate these computing capabilities, slime mould is first starved and then introduced to an area with attractants placed on key positions. The behaviour of slime mould during these laboratory experiments have been simulated by a model based on cellular automata (CAs). The advantages of a software model over the real slime mould are repeatability and faster productions of results. Using CAs can be justified by the emergence of global behaviour from local interactions, a rule that applies also on the real slime mould. The results of the model have been compared to the ones produced during laboratory experiments and found in good agreement both for maze solving and network designing. After thorough examination of the laboratory experiments an updated model was developed, which yielded more efficient networks. As the model was parametrized to produce slightly differentiated results, the effects of these parameters were studied.
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