Mathematical Programming Methods for Reasoning under Uncertainty

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