A unified theory of performance in absolute identification tasks

绝对识别任务中的统一性能理论

• 批准号: LX0348125
• 负责人: Prof Andrew Heathcote
• 金额: $ 2.72万
• 依托单位: The University of Adelaide
• 依托单位国家: 澳大利亚
• 项目类别: Linkage - International
• 财政年份: 2003
• 资助国家: 澳大利亚
• 起止时间: 2003-11-01 至 2007-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LX0348125
• 关键词: unified; theory; performance; absolute; identification

The ability to identify stimuli is fundamentally important in human cognition and is studied in absolute identification tasks, where people must identify one out of a number of stimuli, varying on a single dimension, with an appropriate label. A remarkable finding is that people cannot reliably identify more than about seven different stimuli. This limit imposes severe practical restrictions on our ability to categorise stimuli and constitutes a perplexing problem for cognitive theory. This project involves an international collaborative effort by five leading researchers in mathematical psychology to develop a comprehensive, integrative model of human performance in absolute identification tasks.

识别刺激的能力在人类认知中至关重要，并在绝对识别任务中得到研究，在这种任务中，人们必须从许多刺激中识别出一个，这些刺激在单一维度上变化，并带有适当的标签。一项引人注目的发现是，人们无法可靠地识别超过七种不同的刺激。这一限制对我们对刺激进行分类的能力施加了严格的实际限制，并构成了认知理论的一个令人困惑的问题。该项目涉及五位数学心理学领域的顶尖研究人员的国际合作，旨在开发一个全面、综合的人类在绝对识别任务中的表现模型。