地方搜索和世界模型的演变
Neil R Bramley1, Bonan Zhao1, Tadeg Quillien2
1Department of Psychology, University of Edinburgh.
Topics in cognitive science
|October 18, 2023
概括
人类世界模型通过局部变化逐渐进化,类似于生物进化. 这种指导式探索有助于发现更好的理论,而无需寻求完美的全球模型.
科学领域:
- 认知科学 认知科学
- 进化心理学 进化心理学
- 计算神经科学是一种神经科学.
背景情况:
- 了解人类如何形成世界模型是一个关键的认知科学问题.
- 从无限的可能性中产生新的想法仍然是一个公开的挑战.
研究的目的:
- 探索进化机制在产生世界模型的新想法中的作用.
- 提出认知搜索理论是一个渐进的,局部引导的过程.
主要方法:
- 认知搜索与生物进化 (盲目变异和选择) 之间的类比.
- 来自程序合成的算法作为人类认知过程的潜在机制的建议.
- 对理解人类认知的反对意见和影响进行讨论.
主要成果:
- 认知创新,特别是对于全球世界模型,被认为是渐进式的.
- 当地突变和现有模型的重组促进了探索和发现.
- 这个过程避免了需要寻找一个理论上的"全球最佳".
结论:
- 人类的学习和理论发展是由渐进式探索驱动的,类似于进化过程.
- 了解这一过程,可以了解诸如定和确认偏见之类的认知偏见.
- 程序合成算法可能为这些认知机制提供计算模型.
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