Centre of Behavioral and Cognitive Sciences, University of Allahabad, Allahabad 211002, India.
Conscious Cogn. 2010 Jun;19(2):644-52. doi: 10.1016/j.concog.2010.03.002. Epub 2010 Mar 29.
Unconscious thought theory (UTT) states that all information is taken into account and the attributes are weighted optimally resulting in better decisions in complex decision problems during unconscious thought. Very few studies have investigated the actual amount of information processed in the unconscious thought condition. We hypothesized that only a small subset of information might be considered during unconscious thought (like conscious thought). To test this possibility and to explore the way attribute information is selected and combined, we performed computer simulations on the datasets used by previous researchers. The simulations showed that considering a small subset (3-4) of attributes, yields results comparable to previous studies. There is no need to posit infinite capacity in the unconscious thought condition. The results also suggest that weight information is used for attribute selection that could potentially explain the difficulties in replicating the deliberation-without-attention effect.
无意识思维理论（UTT）指出，在无意识思维过程中，所有信息都会被考虑在内，并对属性进行最优加权，从而在复杂决策问题中做出更好的决策。很少有研究调查无意识思维条件下实际处理的信息量。我们假设在无意识思维期间可能只考虑一小部分信息（如有意识思维）。为了验证这种可能性并探索属性信息的选择和组合方式，我们在前研究人员使用的数据集上进行了计算机模拟。模拟结果表明，考虑一小部分（3-4 个）属性，可得出与先前研究相当的结果。在无意识思维条件下，不需要假设无限容量。结果还表明，权重信息可用于属性选择，这可能解释了难以复制无注意思考效应的原因。
