What is a Bayesian network, and why is it important in AI?

Hi a Bayesian network, also known as a belief network or Bayes network, is a probabilistic graphical model that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG).

Dear Wisam Mohammed Abed Alqaraghuli ,

Look, Mahmudova Sh. Developing an algorithm for the application of Bayesian method to software using artificial immune systems.

Regards,

Shafagat

Dear Doctor

"A Bayesian network is a type of graphical model that uses probability to determine the occurrence of an event. It is also known as a belief network or a causal network. It consists of directed cyclic graphs (DCGs) and a table of conditional probabilities to find out the probability of an event happening.It contains nodes and edges, where edges connect the nodes. The graph is acyclic - meaning there is no direct path where one node can reach another. The table of probability, on the other hand, shows the likelihood that a random variable will take on certain values."