Probabilistic reasoning: representation and inference

Abstract

The training objectives of this learning object are: 1) To represent knowledge in probabilistic terms; 2) To infer probabilistic knowledge by means of the sum amb product rules from probability calculus; 3) To apply the concept of independent variables to the representation of probabilistic knowledge; 4) To infer probabilistic knowledge by using the Bayes' theorem.