Models and Algorithms for Probabilistic and Bayesian Logic
نویسندگان
چکیده
An overview is given, w i t h new results, of math ematical models and algor i thms for probabi l ist ic logic, probabi l ist ic entai lment and various extensions. Ana ly t i ca l and numerical solutions are considered, the former leading to automated generation of theorems in the theory of probabi l i t ies. Ways to restore consistency and relat ionship w i t h Bayesian networks are also studied.
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تاریخ انتشار 1995