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Adapting to environmental dynamics with an artificial circadian system

机译：用人工昼夜系统适应环境动态

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摘要

One of the core challenges of long-term autonomy is the environmental dynamics that agents must interact with. Some of these dynamics are driven by reliable cyclic processes, and thus are predictable. The most dominant of these is the daily solar cycle, which drives both natural phenomena like weather, as well as the activity of animals and humans. Circadian clocks are a widespread solution in nature to help organisms adapt to these dynamics, and demonstrate that many organisms benefit from maintaining simple models of their environments and how they change. Drawing inspiration from circadian systems, this work models relevant environmental states as times series, allowing for forecasts of the state to be generated without any knowledge of the underlying physics. These forecasts are treated as special percepts in a behavior-based architecture; providing estimates of the future state rather than measurements of the current state. They are incorporated into an ethologically based action-selection mechanism, where they influence the activation levels of behaviors. The approach was validated on a simulated agricultural task: a solar-powered agent monitoring pest populations. By using the artificial circadian system to leverage the forecasted state, the agent was able to improve performance and energy management.
机译：长期自主权的核心挑战之一是代理商必须与之互动的环境动态。其中一些动态由可靠的循环过程驱动，因此是可预测的。这些最占优势的是日常太阳循环，这使得天气和动物和人类的活动都推动了自然现象。昼夜节奏是一种广泛的解决方案，以帮助生物体适应这些动态，并证明许多有机体受益于维护其环境的简单模型以及它们如何改变。从核心系统中汲取灵感，这项工作模拟了相关的环境国家随着时间序列，允许在没有任何知识的物理学知识的情况下产生国家的预测。这些预测被视为在基于行为的架构中的特殊感知;提供未来状态的估计而不是当前状态的测量。它们被纳入基于基于基于的动作选择机制，在那里它们影响行为的激活水平。该方法在模拟农业任务上验证：太阳能代理商监测害虫群体。通过使用人工昼夜系统利用预测状态，代理商能够改善性能和能源管理。

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