What is Inference Engine?

1.A program’s protocol for navigating through the rules and data in a knowledge system in order to solve the problem. The major task of the inference engine is to select and then apply the most appropriate rule at each step as the expert system runs, which is called rule-based reasoning. Learn more in: Expert Systems
2.Inference engine is one of the basic components of an expert system that carries out reasoning whereby the expert system reaches a solution. It matches the rules provided in the rule base with the facts contained in the database. Learn more in: Fuzzy Expert System in Agriculture Domain
3.The part of a decision support system that performs the reasoning function. Learn more in: Decision Support Systems for Cardiovascular Diseases Based on Data Mining and Fuzzy Modelling
4.An inference engine is a computer program that applies artificial intelligence to try to obtain answers or responses to queries from a knowledge base. Learn more in: Applying Learning Object Libraries in K-12 Settings
5.The component of a CDSS program that formulates inferences from a knowledge repository. Learn more in: Current Issues and Future Trends of Clinical Decision Support Systems (CDSS)
6.A computer program that tries to derive answers from a knowledge base. Learn more in: Web-Based Expert Systems
7.The part of an expert system that actually performs the reasoning function. Learn more in: Enhanced Fuzzy Assessment Methodology to Find Overlapping in Membership Function Using K Ratio to Find the Yield of Rice
8.An Inference Engine is a tool from artificial intelligence. The first inference engines were components of expert systems. The typical expert system consisted of a knowledge base and an inference engine. The inference engine applied logical rules to the knowledge base and deduced new knowledge. Inference engines work primarily in one of two modes: forward chaining and backward chaining. Forward chaining starts with the known facts and asserts new facts. Backward chaining starts with goals, and works backward to determine what facts must be asserted so that the goals can be achieved. Learn more in: A Novel Fuzzy Logic Classifier for Classification and Quality Measurement of Apple Fruit
9.Section of a machine learning system destined to logically interpret a given data set and retrieve information from it. Learn more in: Towards an Effective Imaging-Based Decision Support System for Skin Cancer