
TL;DR
This paper extends a logical framework to model how agents' beliefs change as they become more aware, incorporating probabilities and exploring implications for information disclosure.
Contribution
It introduces a probabilistic extension to the awareness framework and defines model transitions for awareness updates, advancing understanding of belief dynamics.
Findings
Defined a model transition for awareness increase
Integrated probability into the awareness framework
Discussed applications to information disclosure
Abstract
We investigate how to model the beliefs of an agent who becomes more aware. We use the framework of Halpern and Rego (2013) by adding probability, and define a notion of a model transition that describes constraints on how, if an agent becomes aware of a new formula in state of a model , she transitions to state in a model . We then discuss how such a model can be applied to information disclosure.
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Taxonomy
TopicsAuction Theory and Applications · Game Theory and Applications · Experimental Behavioral Economics Studies
