5 0 0 0 OA 潜在スコープバイアスの認知モデリング:因果的説明についての確率推論過程の検討
- 著者
- 塚村 祐希 若井 大成 下條 朝也 植田 一博
- 出版者
- 日本認知科学会
- 雑誌
- 認知科学 (ISSN:13417924)
- 巻号頁・発行日
- vol.29, no.3, pp.494-508, 2022-09-01 (Released:2022-09-15)
- 参考文献数
- 30
Latent scope bias is a bias that arises when humans estimate how probable a causal explanation is. This bias is a tendency to underestimate the probability of explanations with latent scope, the set of unobserved events that may or may not be occurring. Previous studies proposed the “inferred evidence” account, in which the bias occurs because we underestimate the probability that the unobserved event is occurring and reason based on this probability using the Bayesian rule. However, no studies have examined whether humans estimate the probability of explanations based on the Bayesian rule. Therefore, the present study examined how humans estimate the probability of explanations under uncertainty using Bayesian cognitive modeling. Specifically, participants read two explanations with different latent scopes and responded to one of them with a probability of 0% to 100%. The results obtained indicate the following two points: First, humans estimate the probability of explanations based on the Bayesian rule, which supports the inferred evidence account. Second, there are individual differences in the occurrence of latent scope bias.