The Bayesian maxim for rational learning could be described as conservative change from one probabilistic belief or credence function to another in response to newinformation. Roughly: ‘Hold fixed any credences that are not directly affected by the learning experience.’ This is precisely articulated for the case when we learn that some proposition that we had previously entertained is indeed true (the rule of conditionalisation). But can this conservative-change maxim be extended to revising one’s credences in response to entertaining propositions or concepts of which one was previously unaware? The economists Karni and Vierø (2013, 2015) make a proposal in this...
Epistemologists who study credences have a well-developed account of how you should change them when...
Epistemologists who study credences have a well-developed account of how you should change them when...
This paper characterizes several belief-revision rules in a unified framework: Bayesian revision upo...
The Bayesian maxim for rational learning could be described as conservative change from on...
The Bayesian maxim for rational learning could be described as conservative change from on...
The Bayesian maxim for rational learning could be described as conservative change from on...
In this article, we address a major outstanding question of probabilistic Bayesian epistemology: `Ho...
In this article, we address a major outstanding question of probabilistic Bayesian epistemology: `Ho...
In this article, we address a major outstanding question of probabilistic Bayesian epistemology: `Ho...
In this article, we address a major outstanding question of probabilistic Bayesian epistemology: `Ho...
In this article, we address a major outstanding question of probabilistic Bayesian epistemology: `Ho...
In this article, we address a major outstanding question of probabilistic Bayesian epistemology: `Ho...
This paper characterizes different belief revision rules in a unified framework: Bayesian revision u...
Epistemologists who study credences have a well-developed account of how you should change them when...
This paper characterizes several belief-revision rules in a unified framework: Bayesian revision upo...
Epistemologists who study credences have a well-developed account of how you should change them when...
Epistemologists who study credences have a well-developed account of how you should change them when...
This paper characterizes several belief-revision rules in a unified framework: Bayesian revision upo...
The Bayesian maxim for rational learning could be described as conservative change from on...
The Bayesian maxim for rational learning could be described as conservative change from on...
The Bayesian maxim for rational learning could be described as conservative change from on...
In this article, we address a major outstanding question of probabilistic Bayesian epistemology: `Ho...
In this article, we address a major outstanding question of probabilistic Bayesian epistemology: `Ho...
In this article, we address a major outstanding question of probabilistic Bayesian epistemology: `Ho...
In this article, we address a major outstanding question of probabilistic Bayesian epistemology: `Ho...
In this article, we address a major outstanding question of probabilistic Bayesian epistemology: `Ho...
In this article, we address a major outstanding question of probabilistic Bayesian epistemology: `Ho...
This paper characterizes different belief revision rules in a unified framework: Bayesian revision u...
Epistemologists who study credences have a well-developed account of how you should change them when...
This paper characterizes several belief-revision rules in a unified framework: Bayesian revision upo...
Epistemologists who study credences have a well-developed account of how you should change them when...
Epistemologists who study credences have a well-developed account of how you should change them when...
This paper characterizes several belief-revision rules in a unified framework: Bayesian revision upo...