Читать книгу Cognitive Engineering for Next Generation Computing - Группа авторов - Страница 47

The next step is to evaluate or score these hypotheses based on the evidence in the corpus, and then update the corpus and report the findings to the user or another external system. Now, you have perceived how hypotheses are generated and next comes scoring the hypothesis scoring. In the scoring process, the hypothesis is compared with the available data and check whether there is evidence or not. Scoring or assessing a hypothesis is a procedure of applying measurable strategies to the hypothesis evidence sets to dole out a certain level to the theory and find the confidence level to each hypothesis. This confidence level weight might be updated based on the available training data. The threshold score is used to eliminate the unnecessary hypothesis. On the off chance that none of the hypothesis scores over the threshold the system may need more input which may lead to updating the candidate hypothesis. This information may be represented in a matrix format and several tools are available to manipulate these matrices. The scoring process is continued until the machine learns the concept.