Representation of the world, like the world itself, is the work of men; they describe it from their own point of view, which they confuse with the absolute truth.
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.