Abstract:
The evaluation systems represent an essential component part of artificial intelligence that cover the expert knowledge for a specific domain; subsequently, this knowledge shall be dynamically capitalized by a reasoning mechanism. Thus, an artificial reasoning is implemented whose idea is to simulate natural reasoning triggered by the human brain. We have to underline the important part played by the highly qualified human experts that have gained experience in a certain domain. These experts convey their knowledge to the evaluation system and use the artificial reasoning for multiplying and explaining the experience of human experts. After developing an evaluation system, all the knowledge belonging to the source – human expert can be used, multiplied and generalized by other users for similar or related domains. The skills for necessary to the human expert relate to their analysis capabilities and to their handling of details and other complex aspects because there are necessary clear, accurate, consistent, full and as simple as possible elements to pass from the stage of expertise to the specific knowledge. Once the knowledge is introduced into the evaluation system, they become independent of their proper reasoning mechanism. The job of the reasoning mechanism is to use knowledge in order to extract and explain the internal reasonings triggered by the evaluation system.