非工具信息对奖励学习的影响

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-07-01 Epub Date: 2024-02-23 DOI:10.3758/s13421-024-01537-4
Jake R Embrey, Amy X Li, Shi Xian Liew, Ben R Newell
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引用次数: 0

摘要

对信息搜寻的研究往往强调人们倾向于放弃经济回报,以换取关于未来结果的预先信息。这些实验大多使用向参与者描述奖励或然性的任务。这种描述的使用留下了一个悬而未决的问题,即获得这种非工具性信息的机会是否会影响人们学习和表现实验环境中潜在奖励结构的能力。在两个实验中,受试者完成了一个有金钱奖励的双臂强盗任务,奖励的或然性是通过逐次试验的经验学习到的。我们发现,与基于描述的任务类似,参与者愿意放弃金钱奖励,以获得延迟的、不可改变的结果信息。然而,至关重要的是,几乎没有证据表明这种为信息付费的意愿是由对奖励结构的不准确表征所驱动的:无论是否存在预先的非工具性信息,参与者的表征都接近于基本的奖励结构。这些结果将之前关于信息内在价值的结论延伸到了基于经验的领域,并突出了探究参与者对经验奖励记忆的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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The effect of noninstrumental information on reward learning.

Investigations of information-seeking often highlight people's tendency to forgo financial reward in return for advance information about future outcomes. Most of these experiments use tasks in which reward contingencies are described to participants. The use of such descriptions leaves open the question of whether the opportunity to obtain such noninstrumental information influences people's ability to learn and represent the underlying reward structure of an experimental environment. In two experiments, participants completed a two-armed bandit task with monetary incentives where reward contingencies were learned via trial-by-trial experience. We find, akin to description-based tasks, that participants are willing to forgo financial reward to receive information about a delayed, unchangeable outcome. Crucially, however, there is little evidence this willingness to pay for information is driven by an inaccurate representation of the reward structure: participants' representations approximated the underlying reward structure regardless of the presence of advance noninstrumental information. The results extend previous conclusions regarding the intrinsic value of information to an experience-based domain and highlight challenges of probing participants' memories for experienced rewards.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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