In the context of computational learning, the concept of 'probably approximately correct' (PAC) learning provides a framework for understanding the efficiency and feasibility of learning algorithms.
Every book is a quotation; and every house is a quotation out of all forests, and mines, and stone quarries; and every man is a quotation from all his ancestors.