Generalized Immodesty Principles in Epistemic Utility Theory

Alejandro Pérez Carballo
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Abstract

According to one of the better known constraints on epistemic utility functions, each probabilistically coherent function should be immodest in a particular sense: for any probabilistically coherent credence function P and any alternative Q ≠ P to P, the expected epistemic utility of P relative to P should be greater than that of Q relative to P. is constraint, oŸen known as Strict Propriety, is usually motivated by appealing to a combination of two independent claims. e rst is a certain kind of admissibility principle: that any probabilistically coherent function can sometimes be epistemically rational.1 e second is an abstract principle linking epistemic utility and rationality: that an epistemically rational credence function should always expect itself to be epistemically better than any of its alternatives.2 If we assume, as most typically do, that the alternatives to any probabilistically coherent function are all and only those credence functions with the same domain, these two principles arguably entail Strict Propriety. What happens if we enlarge the class of alternatives to include a wider range of probability functions, including some with a dišerent domain? is would strengthen the principle linking epistemic utility and rationality: it would no longer su›ce, for a credence function to be deemed epistemically rational, that it expects itself to be doing better, epistemically, than credence functions with the same domain. And this stronger principle would arguably give us a more plausible theory of epistemic rationality, at least on some ways of widening the range of alternatives. Suppose an agent with a credence function dened over a collection of propositions takes herself to be doing better, epistemically, than she would be by having another credence function dened over the same collection of propositions. But suppose she thinks she would be doing better, epistemically, having a credence function dened over a smaller collection of propositions— perhaps she thinks she would be doing better, epistemically, not having certain defective concepts and thus that she would be doing better, epistemically, simply
认识效用论中的广义非谦虚原则
根据认识论效用函数的一个较著名的约束,每个概率上一致的函数在特定意义上都应该是不谦虚的:对于任何概率上一致的可信度函数P和任何替代Q≠P的P,P相对于P的预期认识论效用应该大于Q相对于P的预期认识论效用。第一条是某种可接受性原则:任何概率上一致的函数有时在认识论上都是合理的1。2 如果我们像大多数人通常所做的那样,假定任何概率上一致的函数的替代品都是且仅是那些具有相同域的可信函数,那么这两个原则就可以说是蕴含了严格合理性。如果我们把替代品的范围扩大到更多的概率函数,包括一些具有不同域的概率函数,会发生什么情况呢? 这将加强认识论效用与合理性之间的联系原则:一个可信度函数要被认为在认识论上是合理的,就不再需要它期望自己在认识论上比具有相同域的可信度函数做得更好。可以说,这一更强有力的原则将为我们提供一种更可信的认识论理性理论,至少在某些方面扩大了选择的范围。假设一个代理人的可信度函数是在一个命题集合上表示的,那么从认识论的角度看,她认为自己比在同一个命题集合上表示的另一个可信度函数做得更好。但假设她认为,从认识论上讲,如果在一个较小的命题集合上赋予一个信任函数,她会做得更好--也许她认为,从认识论上讲,如果没有某些有缺陷的概念,她会做得更好,因此,从认识论上讲,她会做得更好,只是
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