Mathematical Programming Methods for Reasoning under Uncertainty

نویسنده

  • J. N. Hooker
چکیده

We survey three applications of mathematical programming to rea soning 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 di erent sources

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تاریخ انتشار 1991