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Emergence of perceptual states in mosquitoes using virtually perceived spatial cognitive abilities: Solution for Complex Problems

机译：利用几乎感知的空间认知能力，蚊子中的感知状态的出现：复杂问题的解决方案

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Perceptual learning (PL)—experience-induced improvements in how people interpret and retrieve information—seems to play a bigger role in diverse cognitive functions, including abstract and conceptual domains, than previously assumed. While many nonhuman animals have their own forms of "technology", such as mosquitoes who create and use tools, in environments the opportunity to actively participate with interactive technology is not often made available. When interactive technology is available, mosquitoes often selectively choose to engage with it. This enhances the mosquito’s sense of control over their immediate surroundings. Our study proposed research questions and hypothesis to identify how insect cognitive system with fewer neurons and vertebrate brains can be a model system for research on Artificial Intelligence, Robotics and Machine learning, since Internet of Things devices also have limited processing and low storage.
机译：感知学习（PL） - 经验诱导的改进人们如何解释和检索信息 - 似乎在不同的认知功能中发挥着更大的作用，包括抽象和概念域，而不是以前假设。 虽然许多非人类动物具有自己形式的“技术”，例如创造和使用工具的蚊子，在环境中，积极参与交互式技术的机会并不常用。 当互动技术可用时，蚊子往往选择性地选择与其互动。 这增强了蚊子对周围环境的控制感。 我们的研究提出了研究问题和假设，以确定具有较少神经元和脊椎动物大脑的昆虫认知系统如何是人工智能，机器人和机器学习研究的模型系统，因为物品设备的加工互联网也具有有限的加工和低存储器。

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