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

Prabhjyot Singh Sodhi
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Abstract

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.
利用虚拟感知空间认知能力的蚊子感知状态的出现:复杂问题的解决方案
知觉学习(PL)——由经验引起的人们如何解释和检索信息的改进——似乎在包括抽象和概念领域在内的各种认知功能中发挥着比之前假设的更大的作用。虽然许多非人类动物有自己的“技术”形式,例如蚊子创造和使用工具,但在环境中,往往没有机会积极参与互动技术。当交互式技术可用时,蚊子通常会选择性地选择与之接触。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能够成为人工智能,机器人和机器学习研究的模型系统,因为物联网设备也具有有限的处理和低存储。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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