Quantum Probability Theory Outperforms Classical Bayesian Logic in Modeling Human Decision-Making — E8 Intelligence Research

FINDING: Human decision-making under uncertainty and conflict is best modeled by quantum probability theory, not classical Bayesian logic. | MATH: Quantum probability amplitudes replace classical probabilities; decision basis states are vectors in Hilbert space; interference terms (e. g. , \ (| A | ² ᵢ | i | |² | A | i |² \) ) account for context-dependent violations of the law of total probability. | CONNECTION: No explicit geometric ratios (0. 382, 0. 618, 0. 786, 1. 618, 2. 618) or base-60 or crystallographic symmetries reported. The Hilbert space structure is linear, not inherently harmonic. | DEPTH: 6 — Foundational shift in probability theory for cognition, but no direct link to geometric harmony or universal constants. The mathematical essence is the replacement of Kolmogorov axioms with quantum probability, which introduces complex phases and interference. No specific equations or constants beyond the standard quant Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence. com