Quantum Foundations of Cognition: A Hamiltonian Framework for Learning, Memory, and Active Inference within the Orchestrated Objective Reduction Paradigm (Vol-II)
Syed Muntasir Mamun
This comprehensive second volume mathematically formalizes the Orchestrated Objective Reduction (Orch OR) theory, advancing it from its conceptual foundations into a rigorous operational framework for biological learning and memory. By synthesizing concepts from open quantum systems, non-Hermitian dynamics, and quantum active inference, the report defines the total unified Hamiltonian operator (Ĥ_Total) that dictates the structure of learning. The core finding establishes that conscious, temporally deep active inference—the continuous optimization of internal generative models to minimize expected free energy—is mathematically indistinguishable from the quantum path integral. This equivalence leads to the derivation of the Master Learning Hamiltonian Mamun, SM (2026) ……………………………….1 Quantum Foundations of Cognition: A Hamiltonian Framework for Learning, Memory, and Active Inference within the Orchestrated Objective Reduction Paradigm (Vol-II) K S C (Ĥ_Learning), where the Schrödinger potential (V(ϕ)) physically represents the dynamic landscape of long-term memory and prior beliefs. The document further addresses classical decoherence challenges by modeling Microtubules as Qudit Hopfield Networks governed by a Lindbladian framework (exhibiting superradiant and subradiant states) and by scaling the theory to macroscopic cognition using Neural Spinfoam Networks (NSNs). Also available on Academia.edu: https://www.academia.edu/attachments/132658997/download_file?s=portfolio
•Jan 1, 2026•0 citations