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Growing up: Emerging complexity in living being

机译:成长:新兴的生物复杂性

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Biological systems live and grow. Many aspects are inherent to the concept of living, such as the adaptation, the interaction with the environment, and the ability to deal with limited resources. Living systems present multiple levels of organization, with elements at one level interacting and aggregating to create more complex behavior at a higher level. In recent years, many new techniques used to investigate the spatio-temporal activity in living being have demonstrated the presence of features common to the behavior of self organizing dynamical systems. Thus a question arises: Is this chaos useful to model living beings? The answer is very difficult to find. Many experimental data support the dynamic chaotic modelling of living systems. Complex behaviors such as perceiving, intending, acting, learning, and remembering arise as metastable spatio-temporal patterns of brain activity that are themselves produced by the cooperative interactions among neural clusters. In this article we present and discuss that question, and we try to give indication for a possible answer, with the aim of defining the basic features of a behavioral kernel for living artefacts.
机译:生物系统生存和发展。生活概念固有许多方面,例如适应,与环境的相互作用以及处理有限资源的能力。生命系统呈现出多个层次的组织,层次上的元素进行交互和聚合以在更高层次上创建更复杂的行为。近年来,许多用于调查生物的时空活动的新技术已经证明了自组织动力学系统的行为共有的特征的存在。这样就产生了一个问题:这种混乱对模拟生物有用吗?答案很难找到。许多实验数据支持生命系统的动态混沌建模。诸如感知,意图,行动,学习和记忆之类的复杂行为是由于大脑活动的亚稳态时空模式而产生的,这些时空模式本身是由神经簇之间的协作相互作用产生的。在本文中,我们提出并讨论了这个问题,并尝试给出可能的答案的指示,目的是定义行为人工制品的行为内核的基本特征。

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