人类认知中概念启动的一个模型
Bonan Zhao1, Christopher G Lucas2, Neil R Bramley3
1Department of Psychology, University of Edinburgh, Edinburgh, UK. b.zhao@ed.ac.uk.
Nature human behaviour
|October 16, 2023
概括
本研究介绍了概念启动的计算模型,展示了如何重用过去的知识塑造了新的概念形成. 该模型预测,学习顺序显著影响概念发现,这一发现得到了行为实验的支持.
科学领域:
- 认知科学 认知科学
- 计算神经科学是一种神经科学.
- 人工智能的人工智能
背景情况:
- 人类有效地重复使用和重新组合现有知识来解决复杂的问题,这一过程被称为概念引导.
- 这种认知能力允许开发丰富的心理概念,即使有有限的认知资源.
研究的目的:
- 介绍一个计算模型,解释概念引导作为一个过程的组成概括的计算模型.
- 调查证据处理的顺序如何影响概念学习和发现.
主要方法:
- 开发了一个具有缓存和重用洞察力的动态概念目录的计算模型.
- 模拟学习作为一系列的组成概括.
- 与570名参与者进行了四次行为实验,以测试模型预测.
主要成果:
- 该模型预测,实验证实,证据处理的顺序会导致系统地不同的学习概念.
- 展示了重要的课程顺序和概念花园路径效应.
- 结果与模型预测保持一致,并与替代解释有所不同.
结论:
- 过去的经验通过重复使用和重组知识的过程,批判性地塑造了未来的概念发现.
- 学习课程的设计显著影响人类的感应概念推断.
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