所有受试者都符合相同的识别记忆模型吗? 使用扩展的多项式处理树进行连续,离散和混合模型的比较
Anahí Gutkin1, James F Juola2, Manuel Suero3
1Faculty of Medicine, Universidad Francisco de Vitoria.
Journal of experimental psychology. Learning, memory, and cognition
|January 26, 2026
概括
这项研究提出了用于识别记忆的Atkinson-Juola混合模型,发现它与大多数参与者相比,更适合离散或连续模型. 认知策略的个体差异仍然需要一个更一般的模型.
科学领域:
- 认知心理学 认知心理学
- 计算神经科学是一种神经科学.
- 心理测量 心理测量 心理测量
背景情况:
- 传统的识别记忆模型 (例如,两个高值,信号检测理论) 有局限性.
- 多项式处理树模型增强了顺序和连续变量的分析.
- 之前的模拟显示响应时间 (RT) 和置信度 (CL) 提高了参数估计和模型选择准确性.
研究的目的:
- 调查识别记忆是否是一个连续或离散的过程.
- 提出和评估一个混合模型扩展阿特金森-朱奥拉 (AJ) 模型.
- 使用RT和CL分析识别内存数据.
主要方法:
- 利用了识别记忆实验中的数据 (Juola等人,2019).
- 操纵的相对目标频率和记录的RT和CL.
- 提出并测试了混合AJ模型与纯离散和连续模型对比.
主要成果:
- 扩展的AJ模型为大多数参与者提供了更好的适应性.
- CLs和RTs的模式与AJ模型的理论假设保持一致.
- 没有一个单一的模型足够适合所有参与者,突出了个体的变化.
结论:
- 混合模型比纯离散或连续方法更好地表示识别内存.
- 认知策略的个体差异仍然存在,这表明需要更普遍的模型.
- 未来的研究应该专注于在识别记忆中容纳各种决策策略的模型.
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