Nonlinear Extensions to Capacity-Limited Recursive Systems: Intermittent Viability, Frequency-Weighted Maneuverability, and Emulation Detection

This paper extends the capacity-limited recursive systems framework to nonlinear dynamics where structures appear intermittently rather than deterministically. Survival is determined by how often a structure’s activation conditions reoccur within the remaining system horizon. The paper introduces a maneuverability measure that accounts for temporal availability of directions, revealing an intermittency adversary that hides from traditional geometric monitoring. A variance-based detector exposes this behavior. Results are demonstrated on canonical nonlinear systems including chaotic recurrence and the FitzHugh–Nagumo neuron model.