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首页> 外文期刊>Journal of experimental psychology. Learning, memory, and cognition >Category Number Impacts Rule-Based but Not Information-Integration Category Learning: Further Evidence for Dissociable Category-Learning Systems
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Category Number Impacts Rule-Based but Not Information-Integration Category Learning: Further Evidence for Dissociable Category-Learning Systems

机译：类别编号影响基于规则但不影响信息集成的类别学习：可分离的类别学习系统的进一步证据

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摘要

Category number effects on rule-based and information-integration category learning were investigated. Category number affected accuracy and the distribution of best-fitting models in the rule-based task but had no effect on accuracy and little effect on the distribution of best-fitting models in the information-integration task. In the 2 category conditions, rule-based learning was better than information-integration learning, whereas in the 4 category conditions, unidimensional and conjunctive rule-based learning was worse than information-integration learning. Rule-based strategies were used in the 2-category/rule-based condition, but about half of the observers used rule-based strategies in the 4-catcgory unidimensional and conjunctive rule-based conditions. Information-integration strategies were used in the 4-category/ information-integration condition and by the end of training were used in the 2-category/information-integration condition.
机译：研究了类别编号对基于规则和信息集成类别学习的影响。类别编号会影响基于规则的任务中的准确性和最佳拟合模型的分布，但对准确性和信息集成任务中的最佳拟合模型的分布影响不大。在这两个类别条件下，基于规则的学习比信息集成学习要好，而在这四个类别条件下，一维和合取的基于规则的学习要比信息集成学习差。在基于2类/规则的条件下使用基于规则的策略，但是大约有一半的观察者在基于4类一维和联合规则的条件下使用基于规则的策略。信息整合策略用于4类/信息整合条件，培训结束时用于2类/信息整合条件。

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