确认偏差来自于对贝叶斯推理的近似推理.
Charlie Pilgrim1, Adam Sanborn2, Eugene Malthouse2
1The Mathematics of Real-World Systems CDT, The University of Warwick, Coventry, CV4 7AL, UK; Experimental Psychology, University College London, London, WC1H 0DS, UK.
Cognition
|January 20, 2024
概括
确认偏见,即倾向于支持现有信念的倾向,自然来自于有限的理性信念更新. 我们的BIASR模型解释了认知快捷方式如何导致各种确认偏差.
科学领域:
- 认知科学 认知科学
- 心理学 心理学 心理学
- 决策 决策 决策 决策
背景情况:
- 确认偏见是以一种方式搜索和解释信息,以确认先前存在的信念的倾向.
- 了解确认偏差背后的认知机制对于解释人类判断和决策至关重要.
研究的目的:
- 介绍一个计算模型,BIASR (贝叶斯更新与独立近似和源可靠性),解释了确认偏差的出现.
- 为了证明如何有边界的理性信念更新可以自然导致各种形式的确认偏见.
主要方法:
- 开发了BIASR模型,这是一个贝叶斯网络,在这个网络中,一个人对一个假设的信念和源的可靠性都会同时更新.
- 整合了一个独立性近似来克服与完全理性贝叶斯更新相关的内存限制.
主要成果:
- 该BIASR模型成功地产生了多种形式的确认偏见,包括有偏见的评估,同化,态度两极分化,信念坚持和来源选择偏见.
- 该模型说明,假设信念之间的独立性是一种导致这些偏见的认知策略.
结论:
- 确认偏差是认知过程的自然结果,简化了在记忆约束下更新复杂的信念.
- 该BIASR模型为人类认知中广泛观察到的确认偏差提供了一个节的解释.
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