Imagining the Future: Memory, Simulation, and Beliefs
基于2020年新冠调查数据，构建了一个选择性记忆模型，解释人们如何通过记忆检索和相似性模拟形成对陌生风险的信念，并用新冠和网络攻击数据验证了模型预测。
Abstract How do people form beliefs about novel risks, with which they have little or no experience? Motivated by survey data on beliefs about COVID we collected in 2020, we build a model based on the psychology of selective memory. When a person thinks about an event, different experiences compete for retrieval, and retrieved experiences are used to simulate the event based on how similar they are to it. The model predicts that different experiences interfere with each other in recall and that non-domain-specific experiences can bias beliefs based on their similarity to the assessed event. We test these predictions using data from our COVID survey and from a primed-recall experiment about cyberattack risk. In line with our theory of similarity-based retrieval and simulation, experiences and their measured similarity to the cued event help account for experience effects, priming effects, and the interaction of the two in shaping beliefs.