 In another sense, simulation is the process by which the output of a digital computing system represents an approximate description of the dynamical evolution of another system. This is the sense in which computational models of the weather simulate the weather. If (A) is interpreted using this second notion of simulation, then (A) is true only if we do not care how close our computational approximations are. If we want close computational approximations—as we usually do—then (A) turns into the claim that any physical process can be computationally approximated to the degree of accuracy that is desired in any given case. Whether that is true varies from case to case depending on the dynamical properties of the system, how much is known about them, what idealizations and simplifications are adopted in the model, what numerical methods are used in the computation, and how many computational resources (such as time, processing speed, and memory) are available (Piccinini 2015, Chap 4).