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Inference to the Best Explanation versus Bayes's Rule in a Social Setting

机译:推论对贝叶斯在社交环境中的最佳解释

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This article compares inference to the best explanation with Bayes's rule in a social setting, specifically, in the context of a variant of the Hegselmann-Krause model in which agents not only update their belief states on the basis of evidence they receive directly from the world, but also take into account the belief states of their fellow agents. So far, the update rules mentioned have been studied only in an individualistic setting, and it is known that in such a setting both have their strengths as well as their weaknesses. It is shown here that in a social setting, inference to the best explanation outperforms Bayes's rule according to every desirable criterion.
机译:本文将推理与贝叶斯的规则在社交环境中的最佳解释的推论,特别是在赫格斯曼 - 克劳德模型的变种的背景下,代理商不仅根据他们直接从世界收到的证据更新他们的信仰国家 ,但也考虑到他们同胞的信仰国家。 到目前为止,所提到的更新规则仅在个人态度中进行了研究,并且已知在这种情况下,两者都有它们的优势以及它们的弱点。 这里显示在社会环境中,推理对最佳解释的推理优于贝叶斯的规则,根据每个理想的标准。

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