Quantum-Chaotic Emotional Evolution A Mathematical and Computational Framework

Classical psychology and neuroscience reduce emotions to neurochemical patterns and cognitive reactions. But such views lack explanatory power for recursive, oscillatory, and unpredictable emotional transitions. Recent findings in quantum cognition hint that emotional phenomena may exhibit interference, superposition, and recursive collapse—properties that are neither deterministic nor classically probabilistic. The Hypothesis: • Emotions evolve as dynamic quantum wavefunctions. • Their transitions are not arbitrary, but constrained by an internal logic—a recursive matrix akin to Gödel's formal systems. • Neurotransmitter activity acts as a stochastic modulator, introducing nonlinear chaos into emotional evolution. The Key Question: Are emotions fundamentally recursive quantum information systems evolving within a chaos-fractal logic field?