Artificial Intelligence is a branch of science, which deals with helping machines, finds solutions to complex problems in a more human like fashion. Artificial Intelligence’s scientific goal is to understand intelligence by building computer programs that exhibit intelligent behavior. The developed expert system guides the user to select the suitable solution approach based on different classification criteria which represent the main features of the available interactive approaches. This paper presents some back ground and potential of Artificial Intelligence and its implementation in various fields. We discuss issues that have not been studied in detail within the expert systems setting, yet are crucial for developing theoretical methods and computational architectures for automated reasons. The tools that are required to construct expert systems are discussed in detail.
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