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When Experience Is Better Than Description:Time Delays and Complexity

机译:经验胜于描述:时间延迟和复杂性

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摘要

The dominant sampling paradigm of experience-based choice is extended by exploring two realistic aspects of decisions. First, frequency judgments were studied in situations involving a delay between information acquisition and judgment. This time gap undermines recall from working memory and favors the natural human capacity to encode frequencies effortlessly. Deferred judgments from experience were found to be more accurate than judgments from description, both for absolute and rank-order judgments. Second, task complexity was varied. This showed that-as decision tasks become more complex-participants are willing to trade-off detailed but complex descriptive information for less accurate but simpler information sampled from experience. Moreover, there were no individual differences due to numerical/rational abilities. Results from the two studies suggest that information obtained from experience can be more valuable than descriptive information in that it can both lead to better frequency judgments in deferred tasks and simplify cognitive representations of complex choice tasks.
机译:通过探索决策的两个现实方面,扩展了基于经验的选择的主要抽样范式。首先,在涉及信息获取和判断之间存在延迟的情况下研究了频率判断。这个时间间隔破坏了工作记忆的记忆力,并促进了人类自然地轻松编码频率的能力。无论是绝对判断还是等级判断,从经验得出的延误判断都比从描述得出的判断更准确。其次,任务复杂度各不相同。这表明,随着决策任务变得越来越复杂,参与者愿意权衡详细而复杂的描述性信息,以换取从经验中获取的准确性较低但较简单的信息。此外,由于数字/理性能力,没有个体差异。两项研究的结果表明,从经验中获得的信息比描述性信息更有价值,因为它既可以导致延迟任务中更好的频率判断,又可以简化复杂选择任务的认知表示。

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