We propose an approach to open-ended evolution via the simulation of swarm dynamics. In nature, swarms possess remarkable properties, which allow many organisms, from swarming bacteria to ants and flocking birds, to form higher-order structures that enhance their behavior as a group. Swarm simulations highlight three important factors to create novelty and diversity: (a) communication generates combinatorial cooperative dynamics, (b) concurrency allows for separation of time scales, and (c) complexity and size increases push the system towards transitions in innovation. We illustrate these three components in a model computing the continuous evolution of a swarm of agents. The results, divided into three distinct applications, show how emergent structures are capable of filtering information through the bottleneck of their memory, to produce meaningful novelty and diversity within their simulated environment.

中文翻译：

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如何使 Swarm 开放式？通过对相邻可能性的有限探索来发展集体智慧

我们提出了一种通过群动力学模拟进行开放式进化的方法。在自然界中，群体拥有非凡的特性，这使得许多生物，从成群的细菌到蚂蚁和成群的鸟类，形成更高阶的结构，以增强它们作为一个群体的行为。群模拟强调了创造新颖性和多样性的三个重要因素：(a) 通信产生组合合作动态，(b) 并发性允许时间尺度的分离，以及 (c) 复杂性和规模的增加推动系统向创新转型。我们在计算一组代理的持续进化的模型中说明了这三个组件。结果分为三个不同的应用程序，显示了紧急结构如何能够通过其内存瓶颈过滤信息，