A Neurocognitive Framework of Reality Construction: Active Inference, Predictive Processing, and Computational Consciousness (Part 1)
Zenodo (CERN European Organization for Nuclear Research) May 24, 2026 Aditya Rawat
Neurocognitive Reality Construction Theory models how physical cognitive systems actively construct subjective reality. Grounded in active inference, predictive processing, and hierarchical Bayesian inference, the framework describes how biological neural networks integrate interoceptive and exteroceptive signals to maintain structural integrity and minimize free energy. The work bridges computational neuroscience with fear-response modeling and environmental mapping, providing a scalable blueprint for understanding human conscious experience. This text is Part 1 of a multi-volume theoretical series, laying structural and mathematical groundwork for future engineering applications in autonomous computational cognitive architectures.