Language identification in the limit

Language identification in the limit is a concept from the field of computational learning theory, specifically related to the study of how machines (or algorithms) can learn to identify languages based on a set of examples. The primary focus is on the way a learning algorithm can converge or identify a particular language given a sequence of positive and/or negative examples over time. In formal terms, a language \( L \) can be thought of as a set of strings (words, sentences, etc.).