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Inertial Updating with General Information
Adam Dominiak, Matthew Kovach, Gerelt Tserenjigmid
We study belief revision when a data-generating process (DGP) is unknown, and information is represented by a set of probability distributions, or general information. General info…
Inertial Updating
Adam Dominiak, Matthew Kovach, Gerelt Tserenjigmid
We introduce and characterize inertial updating of beliefs. Under inertial updating, a decision maker (DM) chooses a belief that minimizes the subjective distance between their pri…
Ordered Surprises and Conditional Probability Systems
Adam Dominiak, Matthew Kovach, Gerelt Tserenjigmid
We study conditioning on null events, or surprises, and behaviorally characterize the Ordered Surprises (OS) representation of beliefs. For feasible events, our Decision Maker (DM)…