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

机译:复杂且自组织的可编程体系结构: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:在生物和社会系统之外,自然模式的形成本质上是“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的(未经设计的)和复杂的形态是生物有机体和某些个体社会。我们能否将其分散,自我修复和进化的原则导出到我们的机器,网络和其他人工结构中?特别是,受evo-devo启发的“拟胚”工程方法能否解决规划自治系统的悖论挑战?在这项工作中,我希望通过研究和结合其三个基本要素来更好地理解和重现复杂的形态发生:在遗传调控下的自组装和模式形成。我提出的模型可以等效地解释为(a)移动细胞自动机,其中细胞重排受它们形成的模式影响;或(b)异类集体运动,其中群体代理根据其位置分化为模式。它为探索从基因型到表型的因果关系和可编程联系提供了理论框架。

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