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Simulating self-organization with the digital hormone model

机译:使用数字激素模型模拟自组织

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Inspired by the recent biological findings that many complex biological patterns are results of self-organization of homogeneous cells regulated by hormones, this paper presents the Digital Hormone Model (DHM) as a new computational model for self-organization. The model integrates advantages from many existing computational models of self-organization and produces results that match and predict the actual findings in the biological experiments of feather bud formation among uniform skin cells. To the best of our knowledge, these results are perhaps the first of its kind in the history of modeling self-organization. Furthermore, the new modeling techniques used in this model may lead more breakthroughs in simulating large scale and complex self-organization phenomena in nature.
机译:灵感来自最近的生物学发现,许多复杂的生物学模式是通过激素调节的均质细胞的自我组织的结果,本文将数字激素模型(DHM)作为自组织的新计算模型。该模型集成了许多现有的自组织计算模型的优势,并产生匹配和预测均匀皮肤细胞羽毛芽形成生物实验中的实际发现的结果。据我们所知,这些结果也许是在建模自组织历史中的第一个。此外,该模型中使用的新型建模技术可能在模拟大规模和复杂的自组织现象本质上产生更多突破。

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