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首页> 外文期刊>Procedia Computer Science >Robot regulatory behaviour based on fundamental homeostatic and allostatic principles
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Robot regulatory behaviour based on fundamental homeostatic and allostatic principles

机译:基于基础宿命期和近静压原则的机器人监管行为

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摘要

Animals in their ecological context behave not only in response to external events, such as opportunities and threats but also according to their internal needs. As a result, the survival of the organism is achieved through regulatory behaviour. Although homeostatic and allostatic principles play an important role in such behaviour, how an animal’s brain implements these principles is not fully understood yet. In this paper, we propose a new model of regulatory behaviour inspired by the functioning of the medial Reticular Formation (mRF). This structure is spread throughout the brainstem and has shown generalized Central Nervous System (CNS) arousal control and fundamental action-selection properties. We propose that a model based on the mRF allows the flexibility needed to be implemented in diverse domains, while it would allow integration of other components such as place cells to enrich the agent’s performance. Such a model will be implemented in a mobile robot that will navigate replicating the behaviour of the sand-diving lizard, a benchmark for regulatory behaviour.
机译:生态背景中的动物不仅根据外部事件而表现,例如机会和威胁,而且还根据其内部需求。结果,通过调节行为实现了生物体的存活。虽然稳态和近似原则在这种行为中发挥着重要作用,但动物的大脑如何实现这些原则尚未完全理解。在本文中,我们提出了一种通过内侧网状形成(MRF)的运作的调节行为的新模型。这种结构在整个脑干中传播,并显示了广义的中枢神经系统(CNS)唤起控制和基本的动作选择性。我们建议基于MRF的模型允许在不同域中实现所需的灵活性,而它将允许将其他组件(例如PLACE COLLER)的集成来丰富代理的性能。这种模型将在移动机器人中实施,该移动机器人将导航复制沙潜水蜥蜴的行为,该行为是监管行为的基准。

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