The techniques developed in this paper for analyzing the computational complexity of the one-dimensional tent map can be extended to other types of chaotic dynamical systems by adapting the concept of segment types and automata to the specific characteristics of the system in question. For instance, for higher-dimensional chaotic systems like the baker's map or the Henon map, one could define segment types based on the partitioning of the phase space and design a state transition machine to recognize valid codes. By understanding the key properties of the system, such as sensitivity to initial conditions and the structure of the chaotic attractor, similar smoothed analysis techniques could be applied to determine the space complexity of computing chaotic sequences generated by these systems.