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使用SAM进行协作内存建模.

Willa M Mannering1, Suparna Rajaram2, Richard M Shiffrin3

  • 1Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA. manneringwilla@gmail.com.

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概括
此摘要是机器生成的。

协作抑制,即群体回忆比个人少,通过计算模型来解释. 协同记忆的搜索 (SAM) 模型显示了群体回忆线索如何破坏个人记忆检索.

关键词:
认知建模认知建模协作抑制是一种协作式的抑制.协作式记忆 协作式记忆是一种协作式的记忆.

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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.
  • 人类的记忆 人类的记忆

背景情况:

  • 人类记忆研究主要使用孤立的个体,忽视了群体动态.
  • 协作抑制是协作记忆的一个关键现象,在此过程中,团队在回忆任务中表现低于个人.
  • 现有的理论缺乏正式的计算建模指导.

研究的目的:

  • 开发一个协作自由回忆的计算框架,使用协同记忆的搜索 (SAM) 模型.
  • 测试一个缩放的SAM模型是否可以解释协作抑制.
  • 为个人和协作记忆提供统一的理论基础.

主要方法:

  • 缩放协同记忆 (SAM) 模型的搜索,以模拟多个代理人协作回忆.
  • 实施一个机制,使团队召回作为个人SAM模型的检索线索.
  • 分析模型输出以确定协作抑制的出现.

主要成果:

  • 规模化的SAM模型自然产生协作抑制.
  • 该模型的结果支持"检索中断"假设.
  • 该框架成功地在SAM中统一了个人和协作记忆现象.

结论:

  • 协同记忆的搜索 (SAM) 模型为人类记忆提供了一个统一的计算理论,包括个人和协作回忆.
  • 检索中断假设在计算上得到支持,作为协作抑制的解释.
  • 这种框架使得关于组大小,共享知识和虚假记忆动态的未来预测成为可能.