CODING OF HIERARCHICAL VERSUS LINEAR PATTERN STRUCTURE IN RATS AND HUMANS
CODING OF HIERARCHICAL VERSUS LINEAR PATTERN STRUCTURE IN RATS AND HUMANS
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DOI：
10.1037/0097-7403.21.3.187
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发表时间：
1995-07-01
期刊：
影响因子：
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通讯作者：
ROWAN, JD
中科院分区：
文献类型：
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作者：
FOUNTAIN, SB;ROWAN, JD
在3个实验中，大鼠和人类学习了由24、30或36个项目组成的序列模式。模式具有2级、3级或4级分层规则结构。在实验1和2中，模式具有完美的分层结构或2个违反分层结构的修改块，从而产生线性结构（即，非层次结构）。对于大鼠和人类，模式结构预测模式学习困难，也是错误的性质和相对频率。两人都将与层级结构不一致的组块视为违规组块，也就是说，他们所犯的错误反映了他们“对不规则模式的感知进行规则化的倾向”（F。休息和B。L.伯恩赛德，1972年）。研究结果支持了这样一种观点，即大鼠可以抽象和编码的多级层次结构的表示在串行模式中的方式与人类在类似的任务。
In 3 experiments, rats and humans learned serial patterns composed of 24, 30, or 36 items. Patterns had a 2-, 3-, or 4-level hierarchical rule structure. In Experiments 1 and 2, patterns had either perfect hierarchical structure or 2 modified chunks that violated hierarchical structure, thus producing linear structure (i.e., nonhierarchical structure). For both rats and humans, pattern structure predicted pattern learning difficulty and also the nature and relative frequency of errors. Both treated chunks that were inconsistent with hierarchical structure as violation chunks, that is, they made errors that reflected their ''tendency to regularize the perception of an irregular pattern'' (F. Restle and B. L. Burnside, 1972). The results support the view that rats can abstract and encode a representation of multilevel hierarchical structure in serial patterns in much the same way as humans do in analogous tasks.