How to reason with inconsistent probabilistic information?
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A recent line of research has developed around logics of belief based on information confirmed by a reliable source. In this paper, we provide a finer analysis and extension of this framework, where the confirmation comes from multiple possibly conflicting sources and is of a probabilistic nature. We combine Belnap-Dunn logic and non-standard probabilities to account for potentially contradictory information within a two-layer modal logical framework to account for belief. The bottom layer is to be that of evidence represented by probabilistic information provided by sources available to an agent. The modalities connecting the bottom layer to the top layer, are that of belief of the agent based on the information from the sources in terms of (various kinds of) aggregation. The top layer is to be the logic of thus formed beliefs.
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