A comparison of imprecise Bayesianism and Dempster–Shafer theory for automated decisions under ambiguity
Mantas Radzvilas,
William Peden,
Daniele Tortoli
et al.
Abstract:Ambiguity occurs insofar as a reasoner lacks information about the relevant physical probabilities. There are objections to the application of standard Bayesian inductive logic and decision theory in contexts of significant ambiguity. A variety of alternative frameworks for reasoning under ambiguity have been proposed. Two of the most prominent are Imprecise Bayesianism and Dempster–Shafer theory. We compare these inductive logics with respect to the Ambiguity Dilemma, which is a problem that has been raised f… Show more
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