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Programmable Architectures That Are Complex and Self-Organized: From Morphogenesis to Engineering

机译:可编程架构,复杂和自组织:从形态发生到工程

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Outside biological and social systems, natural pattern formation is essentially "simple" and random, whereas complicated structures are the product of human design. So far, the only self-organized (undesigned) and complex morphologies that we know are biological organisms and some agent societies. Can we export their principles of decentralization, self-repair and evolution to our machines, networks and other artificial constructions? In particular, can an "embryomorphic" engineering approach inspired by evo-devo solve the paradoxical challenge of planning autonomous systems? In this work, I wish to better understand and reproduce complex morphogenesis by investigating and combining its three fundamental ingredients: self-assembly and pattern formation under genetic regulation. The model I propose can be equivalently construed as (a) moving cellular automata, in which cell rearrangement is influenced by the pattern they form, or (b) heterogeneous collective motion, in which swarm agents differentiate into patterns according to their location. It offers a theoretical framework for exploring the causal and programmable link from genotype to phenotype.
机译:外部生物和社会系统,自然模式形成基本上是“简单的”和随机的,而复杂的结构是人类设计的产物。到目前为止,我们知道的唯一自组织(未值得的)和复杂的形态是生物生物和一些代理社会。我们可以将他们的权力下放,自我修复和进化的原则输出到我们的机器,网络和其他人工结构吗?特别是,evo-devo启发的“胚胎”工程方法可以解决规划自主系统的矛盾挑战?在这项工作中,我希望通过调查和结合其三种基本成分来更好地了解和再现复杂的形态发生:在遗传调节下自组装和模式形成。我提出的模型可以等效地解释为(a)移动蜂窝自动机,其中细胞重新排列受它们形式的图案的影响,或(b)非均相集体运动,其中群代理根据它们的位置分化为模式。它提供了一种理论框架,用于探索从基因型到表型的因果和可编程链接。

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