通过贝叶斯的对抗性协作加速科学进步
Andrew W Corcoran1, Jakob Hohwy1, Karl J Friston2
1Monash Centre for Consciousness & Contemplative Studies, Monash University, Melbourne, VIC, Australia.
Neuron
|September 22, 2023
概括
作为解决科学争议的一种方法,对抗性协作可以扩展到理论伪造之外. 贝叶斯信念更新框架为神经科学研究和证据积累提供了新的工具.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 科学哲学的科学哲学
背景情况:
- 提出对抗性合作作为解决科学争议的强有力的方法.
- 它在神经科学和相关领域的采用仍然有限,可能是由于对理论伪造的狭关注.
研究的目的:
- 倡导在科学研究中对抗性合作的更广泛的概念化.
- 提出一个基于贝叶斯信念更新,模型比较和证据积累的框架.
- 加强对抗性协作的实用性,以指导实验设计和数据分析.
主要方法:
- 该研究建议从以伪造为中心的对抗性合作转向贝叶斯框架.
- 这种方法包括贝叶斯的信念更新,模型比较和证据积累.
- 经过工作的例子说明了这些方法用于评分理论模型的应用.
主要成果:
- 拟议的贝叶斯框架扩大了对抗性合作的范围,包括各种信息研究.
- 它为实验设计和数据分析在对抗性环境中提供了正式的工具.
- 该框架允许随着时间的推移对竞争理论的经验支持进行定量评估.
结论:
- 通过贝叶斯镜头重新构想对抗性协作可以克服神经科学中的局限性.
- 这种方法促进了各种研究的整合,并为证据提供了一个共同的指标.
- 它提供了一种强大的方法来追踪竞争的科学理论的证据支持.
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