The synchronisation phenomena in biological systems is a current and recurring subject of scientific study. This topic, namely that of circadian clocks, served as inspiration to develop an agent-based simulation that serves the main purpose of being a proof-of-concept of the model used in the BitBang framework, that implements a modern autonomous agent model. Despite having been extensively studied, circadian clocks still have much to be investigated. Rather than wanting to learn more about the internals of this biological process, we look to study the emergence of this kind of adaptation to a daily cycle. To that end we implemented a world with a day/night cycle, and analyse the ways the agents adapt to that cycle. The results show the evolution of the agents' ability to gather food. If we look at the total number of agents over the course of an experiment, we can pinpoint the time when reproductive technology emerges. We also show that the agents adapt to the daily cycle. This circadian rhythm can be shown by analysing the variation on the agents metabolic rate, which is affected by the variation of their movement patterns. In the experiments conducted we can observe that the metabolic rate of the agents varies according to the daily cycle.

中文翻译：

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循环环境中多智能体系统的演化。

生物系统中的同步现象是当前和反复出现的科学研究主题。这个主题，即生物钟，激发了开发基于代理的模拟的灵感，该模拟的主要目的是作为 BitBang 框架中使用的模型的概念验证，该模型实现了现代自主代理模型。尽管已经进行了广泛的研究，但生物钟仍有很多需要研究的地方。我们不想更多地了解这个生物过程的内部结构，而是希望研究这种对日常周期的适应的出现。为此，我们实现了一个具有昼夜循环的世界，并分析了智能体适应该循环的方式。结果显示了代理收集食物的能力的演变。如果我们查看实验过程中的代理总数，我们可以确定生殖技术出现的时间。我们还表明代理适应每日周期。这种昼夜节律可以通过分析代理代谢率的变化来显示，代谢率受其运动模式变化的影响。在进行的实验中，我们可以观察到药剂的代谢率根据每日循环而变化。