Karni and Vierø (2013) propose a model of belief revision under growing awareness-reverse Bayesianism-which posits that as a person becomes aware of new acts, consequences , or act-consequence links, she revises her beliefs over an expanded state space in a way that preserves the relative likelihoods of events in the original state space. A key feature of the model is that reverse Bayesianism does not fully determine the revised probability distribution. We provide an assumption-act independence-that imposes additional restrictions on reverse Bayesian belief revision. We show that with act independence knowledge of the probabilities of the new act events in the expanded state space is sufficient to fully determine the revised probability di...
This paper characterizes several belief-revision rules in a uni\u85ed framework: Bayesian revision u...
We present a general framework for representing belief-revision rules and use it to characterize Bay...
We present a general framework for representing belief-revision rules and use it to characterize Bay...
Karni and Vierø (2013) propose a model of belief revision under growing awareness-reverse Bayesianis...
This paper introduces a new approach to modeling the expanding universe of decision makers in the wa...
This paper introduces a new approach to modeling the expanding universe of de-cision makers in the w...
This paper characterizes several belief-revision rules in a unified framework: Bayesian revision upo...
This paper extends our earlier work on reverse Bayesianism by relaxing the assump- tion that decisio...
International audienceWe present a general framework for representing belief-revision rules and use ...
In a probability-based reasoning system, Bayes' theorem and its variations are often used to re...
This paper extends our earlier work on reverse Bayesianism by relaxing the assumption that decision ...
We present a general framework for representing belief-revision rules and use it to characterise Bay...
This paper extends our earlier work on reverse Bayesianism by relaxing the assump-tion that decision...
This paper characterizes several belief-revision rules in a unified framework: Bayesian revision upo...
This paper characterizes different belief revision rules in a unified framework: Bayesian revision u...
This paper characterizes several belief-revision rules in a uni\u85ed framework: Bayesian revision u...
We present a general framework for representing belief-revision rules and use it to characterize Bay...
We present a general framework for representing belief-revision rules and use it to characterize Bay...
Karni and Vierø (2013) propose a model of belief revision under growing awareness-reverse Bayesianis...
This paper introduces a new approach to modeling the expanding universe of decision makers in the wa...
This paper introduces a new approach to modeling the expanding universe of de-cision makers in the w...
This paper characterizes several belief-revision rules in a unified framework: Bayesian revision upo...
This paper extends our earlier work on reverse Bayesianism by relaxing the assump- tion that decisio...
International audienceWe present a general framework for representing belief-revision rules and use ...
In a probability-based reasoning system, Bayes' theorem and its variations are often used to re...
This paper extends our earlier work on reverse Bayesianism by relaxing the assumption that decision ...
We present a general framework for representing belief-revision rules and use it to characterise Bay...
This paper extends our earlier work on reverse Bayesianism by relaxing the assump-tion that decision...
This paper characterizes several belief-revision rules in a unified framework: Bayesian revision upo...
This paper characterizes different belief revision rules in a unified framework: Bayesian revision u...
This paper characterizes several belief-revision rules in a uni\u85ed framework: Bayesian revision u...
We present a general framework for representing belief-revision rules and use it to characterize Bay...
We present a general framework for representing belief-revision rules and use it to characterize Bay...