社会冷漠与非社会探索-利用决策有关。

Evan Knep, Xinyuan Yan, Cathy S Chen, Suma Jacob, David P Darrow, R Becket Ebitz, Nicola Grissom, Alexander B Herman
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引用次数: 0

摘要

人类如何解决决策中的探索-利用困境,是我们如何灵活地与动态环境的社会和非社会方面互动的核心。然而,探索背后的认知计算的个体差异与社会和非社会心理灵活性特征之间的关系尚不清楚。为了验证这一点,我们探讨了认知灵活性任务中的决策策略,一个不安分的三臂歹徒任务,并研究了认知策略与社会和非社会特征的个体差异是如何通过广泛自闭症表型问卷(BAPQ)测量的,这是一个经过验证的临床相关的社区工具,在一个大型(N = 1001)在线样本中。与之前发现的探索行为与认知刚性之间的联系相反,我们发现选择行为和探索的差异主要与BAPQ冷漠子量表捕获的社会表型相关。BAPQ冷漠子量表得分越高,表明社交兴趣和参与度降低,与轮班率降低、赢-留/输-换行为增加、对负面结果的敏感性提高以及探索减少有关。强化学习(RL)模型进一步揭示,高冷漠个体探索行为的减少是由于决策噪声的降低而不是认知刚性的增加,这表明探索行为的减少可能反映了随机探索倾向的减少,而不是一种不灵活的学习过程。稀疏典型相关分析表明,这些非社会奖励相关措施的最强负载实际上是社会编码项目。这些结果表明,寻求信息动机的差异,特别是在社会环境中,可能表现为在非社会决策任务中探索性行为的减少。我们的发现还强调了使用计算方法揭示社会功能背后的一般认知机制的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Social aloofness is associated with non-social explore-exploit decisions.

How humans resolve the explore-exploit dilemma in decision making is central to how we flexibly interact with both social and non-social aspects of dynamic environments. However, how individual differences in the cognitive computations underlying exploration relate to social and non-social psychological flexibility traits remains unclear. To test this, we probed decision-making strategies in a cognitive flexibility task, a restless three-armed bandit task, and examined how individual differences in cognitive strategy related to social and non-social traits measured by the Broad Autism Phenotype Questionnaire (BAPQ), a well-validated, clinically-relevant, community instrument, in a large (N = 1001) online sample. In contrast to prior links found between exploratory behavior and cognitive rigidity, we found that differences in choice behavior and exploration were primarily associated with social phenotypes as captured by the BAPQ aloof subscale. Higher scores on the BAPQ aloof subscale, indicative of reduced social interest and engagement, were associated with decreased shift rates, increased win-stay/lose-shift behavior, heightened sensitivity to negative outcomes, and reduced exploration. Reinforcement learning (RL) modeling further revealed that reduced exploration in high aloof individuals was driven by lower decision noise rather than increased cognitive rigidity, suggesting that decreased exploratory behavior may reflect a reduced tendency for stochastic exploration rather than an inflexible learning process. Sparse canonical correlation analysis reveals that the strongest loading for these non-social reward-related measures are in fact socially coded items. These results suggest that differences in motivation to seek information, especially in social contexts, may manifest as decreased exploratory behavior in a non-social decision-making task. Our findings additionally highlight the potential for using computational approaches to reveal general cognitive mechanisms underlying social functioning.

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