Читать книгу Cognitive Engineering for Next Generation Computing - Группа авторов - Страница 24

Machine learning is a strategy that gives the ability to the information to learn without being unequivocally modified. Cognitive frameworks are dynamic. These models are ceaselessly refreshed dependent on new information, examination, and associations. This procedure has two key components: Hypothesis generation and Hypothesis evaluation.

A distinctive cognitive framework utilizes machine learning calculations to construct a framework for responding to questions or conveying insight. The structure requires helping the following characteristics:

1 Access, administer, and evaluate information in the setting.

2 Engender and score different hypotheses dependent on the framework’s aggregated information. The framework may produce various potential arrangements to each difficult it illuminates and convey answers and bits of knowledge with related certainty levels.

3 The framework persistently refreshes the model dependent on client associations and new information. A cognitive framework gets more astute after some time in a robotized way.