Probabilistic Reasoning with Bayes Rule

In Current world, sectors of engineering, management, science use the important techniques based on probabilistic methods. And because in these fields most common tool to relate with the thing is aiding in decision making under uncertainty. Because Logical Reasoning has limitations that it requires that assumptions be considered “certain�, also it typically uses general rules. General rules that are reliable may be difficult to come by and also Logical reasoning can be awkward for certain structured domains such as time and space. In this paper, i basically focus on Bayes’ Rule which is important to solve the problem in artificial Intelligence domain. Later the focus is on Bayes’ network and how it helps to easily understand the problem domain and efficiently to solve the problem. Later the discussion on real time solved example in the domain of artificial Intelligence using the said Rule followed by benefits of Bayes’ network for Expert System and Weakness of it.