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Fast and slow thinking -- of networks: The complementary 'elite' and 'wisdom of crowds' of amino acid, neuronal and social networks

机译:快速和缓慢的思维 - 网络:互补的'精英'和   “人群智慧”的氨基酸,神经元和社交网络

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摘要

Complex systems may have billion components making consensus formation slowand difficult. Recently several overlapping stories emerged from variousdisciplines, including protein structures, neuroscience and social networks,showing that fast responses to known stimuli involve a network core of few,strongly connected nodes. In unexpected situations the core may fail to providea coherent response, thus the stimulus propagates to the periphery of thenetwork. Here the final response is determined by a large number of weaklyconnected nodes mobilizing the collective memory and opinion, i.e. the slowdemocracy exercising the 'wisdom of crowds'. This mechanism resembles toKahneman's "Thinking, Fast and Slow" discriminating fast, pattern-based andslow, contemplative decision making. The generality of the response also showsthat democracy is neither only a moral stance nor only a decision makingtechnique, but a very efficient general learning strategy developed by complexsystems during evolution. The duality of fast core and slow majority mayincrease our understanding of metabolic, signaling, ecosystem, swarming ormarket processes, as well as may help to construct novel methods to exploreunusual network responses, deep-learning neural network structures andcore-periphery targeting drug design strategies. (Illustrative videos can bedownloaded from here: http://networkdecisions.linkgroup.hu)
机译:复杂的系统可能包含数十亿个组件,这使得共识形成缓慢而困难。最近,从蛋白质结构,神经科学和社会网络等各个学科涌现出一些重叠的故事,这些故事表明对已知刺激的快速反应涉及到几个牢固连接的节点的网络核心。在意外情况下,核心可能无法提供连贯的响应,因此刺激传播到网络的外围。在这里,最终的反应是由动员集体记忆和见解的弱连接节点(即行使“群众智慧”的慢民主)决定的。这种机制类似于卡尼曼(Kahneman)的“思维,快速和慢速”,区分基于模式的,快速的,沉思的决策。回应的普遍性还表明,民主不仅是一种道德立场,还是一项决策技术,而且是进化过程中复杂系统开发的一种非常有效的一般学习策略。快速核心和慢速多数的双重性可能会增进我们对代谢,信号传导,生态系统,蜂拥而至的市场过程的理解,也可能有助于构建探索异常网络反应,深度学习神经网络结构和针对药物设计策略的核心外围的新方法。 (可以从此处下载说明性视频:http://networkdecisions.linkgroup.hu)

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    Csermely, Peter;

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