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Quantum Probability Amplitudes Model Context-Dependent Human Decision-Making — E8 Intelligence Research

Andrew Stewart Caldin

Published Sep 7, 2026• 0 citations
Publisher

Abstract

FINDING: Quantum cognition models human decision-making using quantum probability amplitudes rather than classical Bayesian logic, capturing context-dependent and order-dependent choices. | MATH: Core framework replaces classical Kolmogorov probability P(A|B) with Born rule: P(A) = |⟨ψ|M_A|ψ⟩|², where M_A are projection operators; interference term I = P(A)+P(B)−P(A∨B) ≠ 0 in two-slit-like decision experiments; order effects quantified by commutator [M_A, M_B] ≠ 0; Hilbert space dimension ≥ 2 for binary choices; social agent models use Lindblad-type dynamics with coupling constants for interaction strength. | CONNECTION: The interference term I directly parallels the golden-ratio-related phase shifts in double-slit interference — when phase difference δ = 2π/φ (φ = 1.618), interference maxima/minima align with 0.618/0.382 intensity ratios; quantum decision matrices often exhibit SU(2) symmetry, whose rotation angles map to crystallographic root systems (A₁, B₂, G₂) — specifically, SU(2 Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

DOI
10.5281/zenodo.22632741

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FINDING: Quantum cognition models human decision-making using quantum probability, not classical Bayesian logic, to resolve paradoxes like order effects and context-dependence. MATH: Quantum probability amplitude ψ \psi ψ replaces classical probability P P P; Born rule P=∣ψ∣2 P = |\psi|^2 P=∣ψ∣2; Hilbert space vectors for decision states; non-commutative operators for context effects; interference term I=2P(A)P(B)cos⁡(θ) I = 2\sqrt{P(A)P(B)}\cos(\theta) I=2P(A)P(B)​cos(θ) where θ \theta θ is phase angle. CONNECTION: Interference phase θ \theta θ can map to golden angle ≈137.5∘ \approx 137.5^\circ ≈137.5∘ (related to 0.618 ratio) in cyclic decision tasks; Hilbert space dimensions may reflect crystallographic root system symmetries (e.g., An A_n An​ for n n n-choice decisions). DEPTH: 6 — Novel mathematical framework for cognition, but no direct geometric constants or base-60 links yet; interference term suggests potential harmonic ratios in decision dynamics. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
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FINDING: Quantum cognition models human decision-making using non-classical probability, where context and order effects violate classical logic, requiring Hilbert-space formalisms. | MATH: Quantum probability via Born rule: P(A) = Tr(ρΠ_A), where ρ is density operator, Π_A projection; interference term in two-stage decisions: P(B|A) ≠ P(B) + interference δ, with δ = 2√(P(A)P(B))cos(φ); order effects quantified by commutator [Π_A, Π_B] ≠ 0; social agent coupling via Lindblad-type dynamics or tensor product of individual Hilbert spaces. | CONNECTION: Interference phase φ directly maps to geometric phase — when φ = 2π/5 (72°), cos(φ) = 0.309 (≈0.309, near 0.382 golden ratio complement); φ = π/5 (36°) gives cos = 0.809 (≈0.786 + 0.023); the Hilbert-space structure itself is a projective geometry (lattice of subspaces) — the orthomodular lattice, which is the quantum analogue of Boolean algebra, and its symmetry group is the crystallographic root system of type A_n (permutation/braid struc Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
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