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The Evolutionary Resilience of Distributed Cellular Computing

机译:分布式蜂窝计算的进化恢复力

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Individual cells process environmental information relevant to their functions using biochemical processes and signalling networks that implement a flow of information from the extracellular environment, across the cell membrane to the cytoplasm in which the actual cellular computation takes place (in the form of gene expression). In many cases, the environmental information to be processed are either molecules produced by other cells or shared extracellular molecules - in this case the processing of the environmental information is a distributed, highly parallel computing process, in which cells must synchronize, coordinate and cooperate. While the ability of cells to cooperate can increase their overall computational power, it also raises an evolutionary stability issue - population of cooperating cells are at risk of cheating cells invasions, cells that do not cooperate but exploit the benefits of the population. The bridge between membrane computing (as a mathematical formalization of cellular computing) and evolutionary dynamics (as mathematical formalization of natural selection) could lead to interesting insights on the evolutionary stability of cellular computing.
机译:单个细胞处理相关的使用生化过程和信令实现的信息从细胞外环境,其中实际的蜂窝计算发生(在基因表达的形式)细胞质的流动,穿过细胞膜网络它们的功能的环境信息。在许多情况下,要处理的环境信息是由其它小区或共享外分子产生两种分子 - 在这种情况下对环境的信息的处理是分布式的,高度并行计算过程,在该细胞必须同步,协调和合作。虽然细胞的合作,可以提高他们的整体计算能力的能力,这也引发了一个渐进的稳定性问题 - 协同小区的居民都在欺骗细胞入侵,没有合作,但利用民众的利益细胞的风险。膜计算之间的桥梁(如蜂窝计算的数学形式化)和进化动力学(如自然选择数学形式化)可能导致对蜂窝计算的进化稳定性有趣的见解。

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