.png){kind=icon}
返回
.png){kind=icon}
.png){kind=icon}
摘要
En 中文
Human beliefs have remarkable robustness in the face of disconfirmation. This robustness is often explained as the product of heuristics or motivated reasoning. However, robustness can also arise from purely rational principles when the reasoner has recourse to ad hoc auxiliary hypotheses. Auxiliary hypotheses primarily function as the linking assumptions connecting different beliefs to one another and to observational data, but they can also function as a protective belt that explains away disconfirmation by absorbing some of the blame. The present article traces the role of auxiliary hypotheses from philosophy of science to Bayesian models of cognition and a host of behavioral phenomena, demonstrating their wide-ranging implications.
Keyword:
Bayesian modeling
Computational learning theories
Philosophy of science
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
P
IF:
3
论文数:
4.5K
被引数:
1.5W
机构
引用论文
.png){kind=icon}
分享.png){kind=icon}
收藏Preparation of Core–Shell Structure W/Gd2O3 and Study on the Properties of Radiation Protection Materials.png)
Coatings.png)
OAAI
CoatingsIF0
OAAI分享收藏分享收藏
查看更多内容