在解决复杂的乘法问题时,共享数字网络的自动激活
Smadar Sapir-Yogev1, Sarit Ashkenazi2
1The Seymour Fox School of Education, The Hebrew University of Jerusalem, 91905, Jerusalem, Israel. yogev976@bezeqint.net.
Memory & cognition
|August 15, 2025
概括
共享数字网络 (SDN) 在复杂乘法过程中自动激活. 较小的共享数字网络可以提高计算速度和准确性,这表明数学中的自动认知过程.
科学领域:
- 认知心理学 认知心理学
- 数学神经科学的数学神经科学
- 数学的认知能力数学认知能力
背景情况:
- 之前的研究表明,单位乘法网络的自动激活.
- 共享数字网络 (SDN) 将乘法问题与共享的数字数字联系起来.
- 自动激活即使在无关任务中也会发生.
研究的目的:
- 调查是否共享数字网络 (SDN) 通过复杂的乘法问题自动激活.
- 要确定复杂的乘法问题是否激活相关的单位问题共享数字.
- 检查SDN大小对复杂乘法性能的影响.
主要方法:
- 参与者解决了复杂的乘法问题 (解 < 100).
- 实验操纵了SDN大小和转移状态,与问题大小相匹配.
- 参与者自我报告了解决问题的策略.
主要成果:
- 共享数字网络 (SDN) 尺寸在解决复杂的乘法问题上显著预测了速度和准确性.
- 较小SDN的复杂问题比较大的SDN更快地解决,无论战略或转移.
- 对于较小SDN的问题,检索策略更为频繁.
结论:
- 分享数字网络 (SDN) 尺寸是复杂乘法中性能的一个关键决定因素.
- 在复杂的乘法过程中,SDN会自动激活,即使任务无关紧要.
- 这些发现支持了数学知识检索和处理的自动性.
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