卡普奇AI 1.0:开发基于机器学习的触摸屏模式,以测试野生卡普奇的认知能力
Federico Sánchez Vargas1, Sai Rakshith Potluri2,3, Jacob Abernethy2
1Department of Anthropology, Emory University, Atlanta, GA, USA.
bioRxiv : the preprint server for biology
|November 26, 2025
概括
卡普奇AI是一种人工智能驱动的现场系统,可在野生灵长类动物中进行自动认知测试. 这项技术成功地促进了羊的学习和奖励协会,推动了灵长类的认知研究.
科学领域:
- 灵长类的认知能力
- 生态学中的人工智能
- 实地方法学 实地方法学
背景情况:
- 研究野生灵长类的认知需要平衡生态有效性与实验控制.
- 传统的方法往往缺乏深入实地研究所需的精度和可扩展性.
研究的目的:
- 介绍CapuchinAI,这是一个新的现场部署系统,用于在野生灵长类动物中进行自动认知测试.
- 为了证明将人工智能,面部识别和触摸屏技术集成到生态认知研究中的可行性.
主要方法:
- 开发了一个系统,将YOLOv7面部识别模型与Raspberry Pi驱动的触摸屏和奖励装置相结合.
- 在Taboga森林保护区部署了该系统,为期两周,与习惯的白面 (Cebus imitator) 进行了部署.
- 启用了自主任务管理,数据收集和根据绩效提供奖励.
主要成果:
- 16只野与设备互动,其中10只学会触发奖励.
- 8个人形成并保持了强大的屏幕奖励协会,表明快速学习.
- 该系统表现出高度的面部识别准确性 (>97%) 和自主操作的可行性.
结论:
- 卡普奇人AI成功地弥合了实验室实验范式和野生灵长类动物认知研究之间的差距.
- 该方法允许在自然息地进行自主,标准化和可扩展的认知测试.
- 这种方法促进了野生种群中个体认知变化的研究,为比较研究铺平了道路.
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