环境的复杂性和规律性塑造了认知的演变
Cameron Rouse Turner1, Thomas J H Morgan2,3, Thomas L Griffiths1
1Computational Cognitive Sciences Lab, Department of Computer Science, Princeton University, Princeton, NJ 08540, USA.
Proceedings. Biological sciences
|October 22, 2024
概括
认知进化可以源于环境的复杂性和规律性. 我们的模型表明,处理信息可以弥补不可靠的感官,解释了复杂动物的偏见,并协调了两种主要的认知理论.
科学领域:
- 进化生物学是进化的生物学.
- 认知科学是一种认知科学.
- 动物行为 动物行为
背景情况:
- 关于认知进化的两个主要理论,环境复杂性和信号检测理论,似乎是矛盾的.
- 环境复杂性强调了导航不断变化的环境的认知能力.
- 信号检测理论强调了通过偏见利用环境规律的认知.
研究的目的:
- 通过检查感官和决策系统的共同进化来协调认知进化理论.
- 扩展信号检测模型,包括信息检测和处理的演变.
- 研究环境复杂性和规律性如何影响认知进化.
主要方法:
- 开发了一个扩展信号检测模型.
- 分析了感官系统 (信息检测) 和决策系统 (信息处理) 的共同演变.
- 研究了错误权衡和行为偏差在认知进化中的作用.
主要成果:
- 当信息处理通过错误权衡来补偿不可靠的感觉系统时,认知就会出现.
- 复杂的感官系统可以被行为偏见所覆盖,这解释了为什么有时会忽视可靠的信息.
- 环境的复杂性和规律性都能推动认知的进化.
结论:
- 调和了认知进化的环境复杂性和信号检测理论.
- 证明认知涉及感官可靠性和处理偏差之间的平衡.
- 突出了环境因素在塑造认知进化的微妙相互作用.
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