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Mathematical Programming Methods for Reasoning under Uncertainty

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journal contribution
posted on 09.09.2008, 00:00 by John N. Hooker
We survey three applications of mathematical programming to reasoning under uncertainty: a) an application of linear programming to probabilistic logic, b) an application of nonlinear programming to Bayesian logic, a combination of Bayesian inference with probabilistic logic and c) an application of integer programming to Dempster-Shafer theory, which is a method of combining evidence from diffierent sources

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