Further N-Frame networking dynamics of conscious observer-self agents via a functional contextual interface: predictive coding, double-slit quantum mechanical experiment, and decision-making fallacy modeling as applied to the measurement problem in humans and AI.
Frontiers in Computational Neuroscience January 1, 2025 Darren J Edwards
A new theoretical model called the N-Frame integrates predictive coding, quantum Bayesianism, and evolutionary dynamics to explain how conscious observers update beliefs and interact within a quantum cognitive system. The model suggests that consciousness actively participates in wavefunction collapse, bridging quantum potentiality and classical outcomes through internal states and contextual interactions. It frames human cognitive biases not as errors but as evolutionarily stable quantum heuristic strategies that optimize predictive accuracy under uncertainty. The framework offers testable predictions about AI consciousness by specifying informational boundaries, contextual parameters, and a conscious-time dimension derived from AdS/CFT correspondence, providing a unified account of consciousness, decision-making, behavior, and quantum mechanics.