Modelling beliefs about sets
Read OriginalThe article presents a formal problem of modeling beliefs about a set of binary variables, where updates are probabilities over subsets defined by quantified logic formulas. It discusses the challenges of a Bayesian approach and proposes Dempster-Shafer theory as an elegant solution, explaining its core concepts like mass assignments, belief, plausibility, and combination rules.
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