在野外的技术创新和鸟的大脑大小预测了解决问题的技能
Jean-Nicolas Audet1,2,3, Mélanie Couture4,5, Louis Lefebvre6,7
1The Rockefeller University Field Research Center, Millbrook, NY, USA. jaudet@rockefeller.edu.
Nature ecology & evolution
|February 22, 2024
概括
鸟类的解决问题能力预测了它们的现实世界创新率和大脑大小. 这项研究确定了认知任务作为动物创新的可靠的实验代理.
科学领域:
- 动物行为 动物行为
- 认知生态学是一种认知生态学.
- 神经科学是一个神经科学.
背景情况:
- 行为创新提供了生存优势,特别是在环境变化期间.
- 以前的研究将创新与减少灭绝风险,成功的殖民化和更大的大脑大小联系在一起.
- 缺乏一个验证的实验室测试来衡量创新性.
研究的目的:
- 建立可靠的实验室措施,用于鸟类的行为创新.
- 测试认知任务的表现与疯狂的创新率之间的关系.
- 探索认知表现,疯狂的创新和大脑大小之间的联系.
主要方法:
- 一系列的认知任务给了203只鸟,包括15种鸟.
- 评估了测量解决问题,协会学习,逆向学习和自我控制的任务的表现.
- 分析了认知表现,生态创新指标和大脑大小之间的跨特异性和内特异性关系.
主要成果:
- 擅长解决开采性食问题的物种表现出更高的野生技术创新率和更大的大脑.
- 关联式学习,反向学习和自我控制任务的表现与疯狂的创新或大脑大小没有相关.
- 解决问题的能力成为了野生创新的重要预测因素.
结论:
- 认知问题解决任务是评估动物创新的准确实验代理.
- 开发新的动力解决方案,而不是自我控制或暗示学习,对于技术创新在自然环境中至关重要.
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