一个数字感觉是操纵大脑的一个新兴属性
Neehar Kondapaneni1, Pietro Perona2
1California Institute of Technology, Pasadena, USA. nkondapa@caltech.edu.
Scientific reports
|March 22, 2024
概括
孩子 孩子 孩子 孩子
科学领域:
- 认知科学 认知科学
- 人工智能的人工智能
- 发展心理学 发展心理学
背景情况:
- 儿童的数值和数量理解背后的发育机制在很大程度上是未知的.
- 现有的研究缺乏一个全面的模型,解释这些能力从基本的感觉运动相互作用的出现.
研究的目的:
- 研究如何从模型中的简单的动作预测学习任务中产生数值和数量表示.
- 探索跨模式学习在发展基础数学认知方面的潜力.
主要方法:
- 开发了一个计算模型,模拟一个操纵对象并预测行动结果的学习者.
- 深度神经网络用于视觉感知和特征提取.
- 该模型通过将视觉输入与运动系统反进行比较来学习.
主要成果:
- 一个新兴的图像表示表现出类似数字的属性:小整数的不同类别,有序表示和数量相关的信号.
- 该模型成功获得了数量估计和分类能力.
- 这些对物体的概括能力远远超过了培训数据中的这些能力.
结论:
- 数字和数量认知的基本方面可以通过行动预测的监督预训学习.
- 交叉模式学习为人工智能中开发复杂的认知功能提供了一个有希望的机制.
- 这项研究提供了从基本的感觉运动体验中对数学能力的潜在起源的见解.
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