This paper extends our earlier work on reverse Bayesianism by relaxing the assump-tion that decision makers abide by expected utility theory, assuming instead weaker axioms that merely imply that they are probabilistically sophisticated. We show that our main results, namely, (modified) representation theorems and corresponding rules for updating beliefs over expanding state spaces and null events that constitute “reverse Bayesianism, ” remain valid
In this article, we address a major outstanding question of probabilistic Bayesian epistemology: `Ho...
Machina and Schmeidler show that the probabilistic sophistication can be obtained in an Anscombe–Aum...
For a Markov decision problem in which unknown transition probabilities serve as hidden state variab...
This paper extends our earlier work on reverse Bayesianism by relaxing the assumption that decision ...
This paper extends our earlier work on reverse Bayesianism by relaxing the assump- tion that decisio...
This paper introduces a new approach to modeling the expanding universe of de-cision makers in the w...
This paper introduces a new approach to modeling the expanding universe of decision makers in the wa...
This paper states necessary and sufficient conditions for the existence, uniqueness, and updating ac...
This is the author accepted manuscript. The final version is available from Elsevier via the DOI in ...
Bayesian decision theorists argue that rational agents should always perform acts that maximize subj...
This paper concerns the extent to which uncertain propositional reasoning can track probabilistic re...
Abstract In this paper, I present an axiomatic choice theory of Bayesian decision makers and define ...
In a probability-based reasoning system, Bayes' theorem and its variations are often used to re...
International audienceWe present and axiomatize several update rules for probabilities (and preferen...
honors thesisCollege of HumanitiesPhilosophyJonah N. SchuphachIn this paper I push for and defend th...
In this article, we address a major outstanding question of probabilistic Bayesian epistemology: `Ho...
Machina and Schmeidler show that the probabilistic sophistication can be obtained in an Anscombe–Aum...
For a Markov decision problem in which unknown transition probabilities serve as hidden state variab...
This paper extends our earlier work on reverse Bayesianism by relaxing the assumption that decision ...
This paper extends our earlier work on reverse Bayesianism by relaxing the assump- tion that decisio...
This paper introduces a new approach to modeling the expanding universe of de-cision makers in the w...
This paper introduces a new approach to modeling the expanding universe of decision makers in the wa...
This paper states necessary and sufficient conditions for the existence, uniqueness, and updating ac...
This is the author accepted manuscript. The final version is available from Elsevier via the DOI in ...
Bayesian decision theorists argue that rational agents should always perform acts that maximize subj...
This paper concerns the extent to which uncertain propositional reasoning can track probabilistic re...
Abstract In this paper, I present an axiomatic choice theory of Bayesian decision makers and define ...
In a probability-based reasoning system, Bayes' theorem and its variations are often used to re...
International audienceWe present and axiomatize several update rules for probabilities (and preferen...
honors thesisCollege of HumanitiesPhilosophyJonah N. SchuphachIn this paper I push for and defend th...
In this article, we address a major outstanding question of probabilistic Bayesian epistemology: `Ho...
Machina and Schmeidler show that the probabilistic sophistication can be obtained in an Anscombe–Aum...
For a Markov decision problem in which unknown transition probabilities serve as hidden state variab...