 Unfortunately, the connection between state spaces, chaotic models and laws is less clear. Indeed, there currently are no good candidates for laws of chaos over and above the laws of classical mechanics, and some, such as Kellert, explicitly deny that chaos modeling is getting at laws at all (1993, ch. 4). Furthermore, the relationship between the state spaces of chaotic models and the spaces of idealized physical systems is quite delicate, which seems to be a dissimilarity between classical mechanics and “chaos theory.” In the former case, we seem to be able to translate between models and state spaces.[3] In the latter, we can derive a state space for chaotic models from the full nonlinear model, but we cannot reverse the process and get back to the nonlinear model state space from that of the chaotic model. One might expect the hypotheses connecting chaos models with idealized physical systems to piggy back on the hypotheses connecting classical mechanics models with their corresponding idealized physical systems. But it is neither clear how this would work in the case of nonlinear systems in classical mechanics, nor how this would work for chaotic models in biology, economics and other  disciplines.[4] 