好奇心
事前
概率逻辑
功能(生物学)
心理学
任务(项目管理)
价值(数学)
认知心理学
社会心理学
经济
计算机科学
人工智能
机器学习
生物
进化生物学
宏观经济学
管理
作者
Kenji Kobayashi,Silvio Ravaioli,Adrien Baranès,Michael Woodford,Jacqueline Gottlieb
标识
DOI:10.1038/s41562-019-0589-3
摘要
Curiosity—our desire to know—is a fundamental drive in human behaviour, but its mechanisms are poorly understood. A classical question concerns the curiosity motives. What drives individuals to become curious about some but not other sources of information?1 Here we show that curiosity about probabilistic events depends on multiple aspects of the distribution of these events. Participants (n = 257) performed a task in which they could demand advance information about only one of two randomly selected monetary prizes that contributed to their income. Individuals differed markedly in the extent to which they requested information as a function of the ex ante uncertainty or ex ante value of an individual prize. This heterogeneity was not captured by theoretical models describing curiosity as a desire to learn about the total rewards of a situation2,3. Instead, it could be explained by an extended model that allowed for attribute-specific anticipatory utility—the savouring of individual components of the eventual reward—and postulates that this utility increased nonlinearly with the certainty of receiving the reward. Parameter values fitting individual choices were consistent for information about gains or losses, suggesting that attribute-specific anticipatory utility captures fundamental heterogeneity in the determinants of curiosity. Kobayashi et al. show that when options are defined by multiple attributes, people are curious about individual attributes regardless of the uncertainty of the total outcome, revealing a distinct type of anticipatory utility that shapes curiosity.
科研通智能强力驱动
Strongly Powered by AbleSci AI