Prediction with expert advice applied to the problem of prediction with expert advice

Prediction with expert advice applied to the problem of prediction with expert advice
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专家建议预测应用于专家建议预测问题

DOI:
10.1007/s11229-022-03809-5
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发表时间:
2022
期刊:
影响因子:
1.5
通讯作者:
Herrmann, Daniel A.
Herrmann, Daniel A.
中科院分区:
人文科学2区
文献类型:
--
作者:
Herrmann, Daniel A.

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我们经常需要对我们不是专家的事情有信念。幸运的是,我们经常可以获得有关这些主题的专家判断。但是,当专家们的判断相互矛盾时,我们应该如何根据专家的意见来形成我们的信念呢?这是社会认识论中新手/2-专家问题的核心。一个密切相关的问题在政策制定方面很重要:政策制定者在制定自己不是专家的领域的政策时,应该如何使用专家的判断?考虑到政治的混乱和战略性质,这个问题更加复杂。在本文中,我们认为机器学习的专家建议预测(PWEA)框架为解决这些问题提供了有用的工具。我们概述的条件下,我们应该专家PWEA是有帮助的,在哪些情况下,我们不应该期望这些方法表现良好。
We often need to have beliefs about things on which we are not experts. Luckily, we often have access to expert judgements on such topics. But how should we form our beliefs on the basis of expert opinion when experts conflict in their judgments? This is the core of the novice/2-expert problem in social epistemology. A closely related question is important in the context of policy making: how should a policy maker use expert judgments when making policy in domains in which she is not herself an expert? This question is more complex, given the messy and strategic nature of politics. In this paper we argue that the prediction with expert advice (PWEA) framework from machine learning provides helpful tools for addressing these problems. We outline conditions under which we should expert PWEA to be helpful and those under which we should not expect these methods to perform well.
次季节多模型预测的新方法:根据专家建议进行在线预测
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