How does an expert system combine certainty factors of two or more rules affecting the same hypothesis? give an example?
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-Probability provides an exact, mathematically correct, approach to uncertainty management in expert systems.
-The Bayesian rule permits to determine probability of a hypothesis given evidence has been observed.
What is Bayesian reasoning? How does an expert system rank potentially true hypotheses? give an example.
-statistical approach to uncertainty management in expert systems
-propagates uncertainties based on a Bayesian Rule of evidence.
-based on information that the expert provided.
-If E is true, then H is true (with the provided probability).
-Probability provides an exact, mathematically correct, approach to uncertainty management in expert systems.
-The Bayesian rule permits to determine probability of a hypothesis given evidence has been observed.
What is Bayesian reasoning? How does an expert system rank potentially true hypotheses? give an example.
-statistical approach to uncertainty management in expert systems
-propagates uncertainties based on a Bayesian Rule of evidence.
-based on information that the expert provided.
-If E is true, then H is true (with the provided probability).
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