Applications of Inference Engines
- Expert Systems: An expert system is AI software that uses knowledge stored in a knowledge base to solve problems that would usually require a human expert thus preserving a human expert’s knowledge in its knowledge base.
- Diagnostic Systems: Inference engines are widely utilized in diagnostic systems, specifically in medical fields. These systems employ an inference engine to analyze symptoms, match them to known diseases, and then provide potential diagnoses.
- Recommendation Systems: Recommendation systems are frequently used by online companies such as Amazon, Netflix, and Spotify to give users personalized recommendations. Some recommendation systems employ inference engines to analyze user behavior, discover patterns, and make recommendations based on those patterns.
- Natural Language Processing: NLP is the branch of Artificial Intelligence that gives the ability to machine understand and process human languages. Human languages can be in the form of text or audio format.
What is an Inference Engine? Types and Functions
An inference engine is a component of an AI system that is responsible for drawing conclusions from a set of data. In other words, it is part of the AI system that makes deductions and predictions based on the information it has been given.