Maddox W Todd, Ashby F Gregory, Ing A David, Pickering Alan D
University of Texas, Department of Psychology, Austin, Texas 78712, USA.
Mem Cognit. 2004 Jun;32(4):582-91. doi: 10.3758/bf03195849.
The effect of a sequentially presented memory scanning task on rule-based and information-integration category learning was investigated. On each trial in the short feedback-processing time condition, memory scanning immediately followed categorization. On each trial in the long feedback-processing time condition, categorization was followed by a 2.5-sec delay and then memory scanning. In the control condition, no memory scanning was required. Rule-based category learning was significantly worse in the short feedback-processing time condition than in the long feedback-processing time condition or control condition, whereas information-integration category learning was equivalent across conditions. In the rule-based condition, a smaller proportion of observers learned the task in the short feedback-processing time condition, and those who learned took longer to reach the performance criterion than did those in the long feedback-processing time or control condition. No differences were observed in the information integration task. These results provide support for a multiple-systems approach to category learning and argue against the validity of single-system approaches.
研究了顺序呈现的记忆扫描任务对基于规则和信息整合类别学习的影响。在短反馈处理时间条件下的每次试验中,记忆扫描紧跟在分类之后。在长反馈处理时间条件下的每次试验中,分类之后有2.5秒的延迟,然后是记忆扫描。在控制条件下,不需要进行记忆扫描。基于规则的类别学习在短反馈处理时间条件下明显比在长反馈处理时间条件或控制条件下差,而信息整合类别学习在各条件下相当。在基于规则的条件下,在短反馈处理时间条件下学习该任务的观察者比例较小,并且那些学会的人达到性能标准所需的时间比在长反馈处理时间或控制条件下的人更长。在信息整合任务中未观察到差异。这些结果为类别学习的多系统方法提供了支持,并反对单系统方法的有效性。