在伪科学信仰体系中定和传播更新
Josue García-Arch1, Marc Ballestero-Arnau1, Itxaso Barbería2
1Departament De Cognició, Desenvolupament i Psicologia De l'Educació, Secció Processos Cognitius, Institut de Neurociències (UBneuro), Universitat De Barcelona (UB), Barcelona, Spain.
Annals of the New York Academy of Sciences
|March 3, 2026
概括
了解伪科学信仰修订是关键. 计算机建模表明,社会反会影响信仰的更新,但最初的信念可以稳定这些伪科学信仰,使它们抵抗变化.
科学领域:
- 认知科学 认知科学
- 社会心理学 社会心理学
- 计算建模 计算建模
背景情况:
- 伪科学信仰显著影响健康,政治和公众信任.
- 以前的研究集中在接受的相关性,而不是信念形成和更新的机制.
研究的目的:
- 调查规范性的社会反如何影响伪科学信仰的修订.
- 在伪科学的背景下,提供一种机械化的信仰更新的解释.
主要方法:
- 利用计算机建模与层次化的贝叶斯推理.
- 300名全国代表的美国参与者完成了一项学习任务,对伪科学陈述进行试验反.
主要成果:
- 参与者展示了反复的信念更新,随着时间的推移减少了预测错误.
- 一个定传播模型最好地解释了学习,预测错误传播,但最初的信念使其稳定.
- 信念更新受到先前期望和社会反的调整的影响.
结论:
- 伪科学信仰通过受社会反影响的过程更新,并以最初的信念为.
- 这提供了一种机械的理解,即信念如何既能接受新信息,又能抵抗变化.
- 这些发现对理解信念更新,社会认知和开发对错误信息的干预有影响.
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