Bayesians Still Don’t Learn from Conditionals

IF 0.3 3区 文学 0 PHILOSOPHY
Mario Günther, Borut Trpin
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引用次数: 1

Abstract

One of the open questions in Bayesian epistemology is how to rationally learn from indicative conditionals (Douven, 2016). Eva et al. (Mind 129(514):461–508, 2020) propose a strategy to resolve this question. They claim that their strategy provides a “uniquely rational response to any given learning scenario”. We show that their updating strategy is neither very general nor always rational. Even worse, we generalize their strategy and show that it still fails. Bad news for the Bayesians.

贝叶斯仍然没有从条件句中学习
贝叶斯认识论中的一个开放问题是如何理性地从指示性条件中学习(Douven, 2016)。Eva等人(Mind 129(514):461 - 508,2020)提出了解决这个问题的策略。他们声称,他们的策略“对任何给定的学习场景都提供了独特的理性反应”。我们表明,它们的更新策略既不是非常普遍,也不总是理性的。更糟糕的是,我们概括了他们的策略,并表明它仍然失败。贝叶斯学派的坏消息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.20
自引率
0.00%
发文量
35
期刊介绍: Acta Analytica is an international journal for philosophy in the analytical tradition covering a variety of philosophical topics including philosophical logic, metaphysics, epistemology, philosophy of science and philosophy of mind. Special attention is devoted to cognitive science. The journal aims to promote a rigorous, argument-based approach in philosophy. Acta Analytica is a peer reviewed journal, published quarterly, with authors from all over the world.
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