哈桑伊之争:不确定性条件下作为决策理论的政治哲学

IF 0.2 4区 哲学 0 PHILOSOPHY Manuscrito Pub Date : 2021-06-01 DOI:10.1590/0100-6045.2021.v44n2.rp
R. Peres
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引用次数: 0

摘要

摘要社会决策往往是在巨大的不确定性下做出的——在这种情况下,政治原则,甚至标准的主观预期效用,都不能顺利应用。在第一节中,我们认为这个问题的核心在于决策理论本身——它是关于当我们对行动的背景及其可能的后果没有充分的描述时,如何采取行动。因此,我们区分了两个在无知条件下补充决策理论的标准——拉普拉斯的不充分理性原则和瓦尔德的最大化标准。然后,我们将这一分析运用到政治哲学中,通过对哈桑尼和罗尔斯正义理论的对比,分别基于拉普拉斯的不充分理性原理和瓦尔德的最大化规则-我们最终在实践中强调了罗尔斯原理的优点(由于其计算简单,它在直觉上很有吸引力,因此提供了一个显著的收敛点)-并将这一论点与我们的道德直觉和社会规范联系起来,在这种情况下需要谨慎为他人着想而做出的决定。
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THE HARSANYI-RAWLS DEBATE: POLITICAL PHILOSOPHY AS DECISION THEORY UNDER UNCERTAINTY
Abstract Social decisions are often made under great uncertainty - in situations where political principles, and even standard subjective expected utility, do not apply smoothly. In the first section, we argue that the core of this problem lies in decision theory itself - it is about how to act when we do not have an adequate representation of the context of the action and of its possible consequences. Thus, we distinguish two criteria to complement decision theory under ignorance - Laplace’s principle of insufficient reason and Wald’s maximin criterion. After that, we apply this analysis to political philosophy, by contrasting Harsanyi’s and Rawls’s theories of justice, respectively based on Laplace’s principle of insufficient reason and Wald’s maximin rule - and we end up highlighting the virtues of Rawls’s principle on practical grounds (it is intuitively attractive because of its computational simplicity, so providing a salient point for convergence) - and connect this argument to our moral intuitions and social norms requiring prudence in the case of decisions made for the sake of others.
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来源期刊
Manuscrito
Manuscrito PHILOSOPHY-
CiteScore
0.30
自引率
0.00%
发文量
31
审稿时长
32 weeks
期刊介绍: Information not localized
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