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Dynamic Awareness

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 $ϕ$ in state $s$ of a model $M$, she transitions to state $s^*$ in a model $M^*$. We then discuss how such a model can be applied to information disclosure.

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Related contextRelated contextCo-authorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalWDynamic Awarenesspreprint / 2020AJoseph Y. HalpernResearcherAEvan PiermontResearcherTArtificial Intelligence22915 worksTLogic in Computer Science2208 worksTecon.TH641 works
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Dynamic Awareness

preprint / 2020

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