Life as an emergent phenomenon: studies from a large-scale boid simulation and web data
Life as an emergent phenomenon: studies from a large-scale boid simulation and web data
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DOI：
10.1098/rsta.2016.0351
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发表时间：
2017-12-28
期刊：
影响因子：
5
通讯作者：
Hashimoto, Yasuhiro
中科院分区：
文献类型：
--
作者：
Ikegami, Takashi;Mototake, Yoh-ichi;Hashimoto, Yasuhiro
具有特殊结构的大群体可以成为涌现之母。我们讨论了这一假设与大规模生物模拟和网络数据。在群集模拟中，发现大群的成核、组织和崩溃动力学比小群更多样化。在第二种分析中，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分组在一起，从而使网络形成核心-外围结构。我们表明，在高阶团中，新标签的生成率及其使用频率很高。在这种情况下，新奇不是随机产生的；相反，它是由一个庞大而结构化的网络产生的。我们将这些结果置于相邻可能理论的背景下，并作为一种理解集体智慧的新方法。我们认为，过多的信息和物质流动可以成为创新的源泉。
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.