Searching for the majority: algorithms of voluntary control.

Searching for the majority: algorithms of voluntary control.
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搜索多数:自愿控制的算法。

DOI:
10.1371/journal.pone.0003522
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发表时间:
2008
期刊:
影响因子:
3.7
通讯作者:
Wang, Hongbin
Wang, Hongbin
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Fan, Jin;Guise, Kevin G.;Liu, Xun;Wang, Hongbin

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信息处理的自愿控制对于分配资源和在给定情况下优先处理最重要的过程至关重要;然而,这种控制的算法通常并不清楚。我们调查了可能的算法控制的性能的多数功能,其中参与者搜索并确定两个替代类别(左或右指向箭头)之一,构成大多数在每个刺激集。我们操纵输入的数量(集合大小为1、3和5)和内容(集合中左箭头和右箭头的比例)来测试关于信息处理的心理操作的竞争假设。使用基于计算负荷的新度量,我们发现与替代算法相比,分组搜索算法最好地预测了反应时间(即,穷举或自终止搜索)。分组搜索算法涉及在做出决定之前对输入进行采样和重新排序。这些发现强调了通过心理操作算法研究自愿控制的重要性。
Voluntary control of information processing is crucial to allocate resources and prioritize the processes that are most important under a given situation; the algorithms underlying such control, however, are often not clear. We investigated possible algorithms of control for the performance of the majority function, in which participants searched for and identified one of two alternative categories (left or right pointing arrows) as composing the majority in each stimulus set. We manipulated the amount (set size of 1, 3, and 5) and content (ratio of left and right pointing arrows within a set) of the inputs to test competing hypotheses regarding mental operations for information processing. Using a novel measure based on computational load, we found that reaction time was best predicted by a grouping search algorithm as compared to alternative algorithms (i.e., exhaustive or self-terminating search). The grouping search algorithm involves sampling and resampling of the inputs before a decision is reached. These findings highlight the importance of investigating the implications of voluntary control via algorithms of mental operations.
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