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作为一种涌现现象的生命:来自大规模鸟类模拟和网络数据的研究。

Life as an emergent phenomenon: studies from a large-scale boid simulation and web data.

作者信息

Ikegami Takashi, Mototake Yoh-Ichi, Kobori Shintaro, Oka Mizuki, Hashimoto Yasuhiro

机构信息

Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguroku, Tokyo 153-8902, Japan

Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8561, Japan.

出版信息

Philos Trans A Math Phys Eng Sci. 2017 Dec 28;375(2109). doi: 10.1098/rsta.2016.0351.

Abstract

A large group with a special structure can become the mother of emergence. We discuss this hypothesis in relation to large-scale boid simulations and web data. In the boid swarm simulations, the nucleation, organization and collapse dynamics were found to be more diverse in larger flocks than in smaller flocks. In the second analysis, large web data, consisting of shared photos with descriptive tags, tended to group together users with similar tendencies, allowing the network to develop a core-periphery structure. We show that the generation rate of novel tags and their usage frequencies are high in the higher-order cliques. In this case, novelty is not considered to arise randomly; rather, it is generated as a result of a large and structured network. We contextualize these results in terms of adjacent possible theory and as a new way to understand collective intelligence. We argue that excessive information and material flow can become a source of innovation.This article is part of the themed issue 'Reconceptualizing the origins of life'.

摘要

一个具有特殊结构的大群体可以成为涌现之母。我们结合大规模鸟类模拟和网络数据来讨论这一假设。在鸟类群体模拟中,发现较大鸟群中的成核、组织和崩溃动态比较小鸟群中的更加多样。在第二项分析中,由带有描述性标签的共享照片组成的大型网络数据倾向于将具有相似倾向的用户聚集在一起,使网络形成核心-外围结构。我们表明,新标签的生成率及其使用频率在高阶团中较高。在这种情况下,新颖性并非被认为是随机产生的;相反,它是由一个大型结构化网络产生的结果。我们根据相邻可能理论将这些结果置于具体情境中,并将其作为理解集体智慧的一种新方式。我们认为,过多的信息和物质流动可以成为创新的源泉。本文是主题为“重新概念化生命起源”的特刊的一部分。

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