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In the field of artificial intelligence, an inference engine is a software component of an intelligent system that applies logical rules to the knowledge base to deduce new information. The first inference engines were components of expert systems. The typical expert system consisted of a knowledge base and an inference engine.
Elaborative Interrogation is a cognitive learning strategy that enhances comprehension and retention by prompting learners to generate explanations for why certain facts or concepts are true. This method encourages deeper processing of information by connecting new material to existing knowledge, thus creating a more integrated understanding.
Because the list of goals determines which rules are selected and used, this method is called goal-driven, in contrast to data-driven forward-chaining inference. The backward chaining approach is often employed by expert systems. Programming languages such as Prolog, Knowledge Machine and ECLiPSe support backward chaining within their inference ...
Forward chaining (or forward reasoning) is one of the two main methods of reasoning when using an inference engine and can be described logically as repeated application of modus ponens. Forward chaining is a popular implementation strategy for expert systems, business and production rule systems. The opposite of forward chaining is backward ...
Text inferencing describes the tacit or active process of logical induction or deduction during reading. Inferences are used to bridge current text ideas with antecedent text ideas or ideas in the reader's store of prior world knowledge. Text inferencing is an area of study within the fields of cognitive psychology and linguistics. Much of the ...
Inferences are kept in the middle of all categories. Inferential Theory of Learning ( ITL ) is an area of machine learning which describes inferential processes performed by learning agents. ITL has been continuously developed by Ryszard S. Michalski , starting in the 1980s.
Resolving basic or focus questions typically requires investigation and examination of multiple passages within a selection. Cluster questions, which need not be interpretive questions, are optionally prepared by discussion leaders and are often organized to help to resolve the answers to basic or focus questions.
First, only the question is displayed. Then the answer is displayed too, for verification. The testing effect (also known as retrieval practice , active recall , practice testing , or test-enhanced learning ) [ 1 ] [ 2 ] [ 3 ] suggests long-term memory is increased when part of the learning period is devoted to retrieving information from ...