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arXiv 1502.03499cond-mat.stat-mechphysics.soc-ph
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具有极值记忆的随机游走器:峰末规则的建模

Random walkers with extreme value memory: modelling the peak-end rule

Rosemary J. Harris

摘要:

出于心理学文献的“峰末规则”的记忆经验,我们进行了分析内的离散选择模型,代理人的未来选择取决于他们过去的经验的峰值记忆的随机游走框架。特别是,我们使用这种方法来调查是否增加噪音/中断总是导致更多的决策之间的切换。在这里,极值理论阐明了不同类别的动态,表明长期行为取决于用于反思的尺度;这可能会产生影响,例如,在问卷设计。

英文摘要:

Motivated by the psychological literature on the "peak-end rule" for remembered experience, we perform an analysis within a random walk framework of a discrete choice model where agents' future choices depend on the peak memory of their past experiences. In particular, we use this approach to investigate whether increased noise/disruption always leads to more switching between decisions. Here extreme value theory illuminates different classes of dynamics indicating that the long-time behaviour is dependent on the scale used for reflection; this could have implications, for example, in questionnaire design.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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