 Kellert’s position hangs partly on how we construe theories. If a theory is just a toolbox of models, something like an integrated collection of Kuhnian exemplars (Giere 1988, Teller 2008), then the claim for a revolutionary theory development of some kind becomes more plausible. For nonlinear dynamics highlights a new set of models and the strange attractors that characterize their behaviors. In addition, complex systems theorists often stress the holistic, anti-reductive, emergent nature of the systems they study, by contrast with the linear, Newtonian paradigm. Kuhn wrote that one way in which normal science articulates its paradigm is by “permitting the solution of problems to which it had previously only drawn attention.” But had not classical dynamics suppressed rather than drawn attention to the problems of chaos theory and the various sorts of complexity theory and network theory that are much studied today? Still, it is easy to agree with Kellert that this case does not fit Kuhn’s account neatly. To some readers it suggests that a more pluralistic conception of scientific revolutions than Kuhn’s is needed.