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Quantum Probability Amplitudes Model Human Decision-Making Under Uncertainty — E8 Intelligence Research

Andrew Stewart Caldin

Published Oct 11, 2026• 0 citations
Publisher

Abstract

FINDING: Quantum cognition models human decision-making under uncertainty using quantum probability amplitudes rather than classical Bayesian probabilities, with context-dependent non-commutative operators. | MATH: Quantum probability: \(P(A|B) \neq P(B|A)\) in general; decision as projection onto Hilbert space basis states; interference term: \(P(A \lor B) = P(A) + P(B) + 2\sqrt{P(A)P(B)}\cos(\delta)\), where \(\delta\) is the phase difference between probability amplitudes; non-commutativity: \([\hat{A},\hat{B}] = \hat{A}\hat{B} - \hat{B}\hat{A} \neq 0\) for incompatible decision contexts; social agent model (arXiv:1202.4918) uses Lindblad-type master equation for open quantum systems with interaction Hamiltonian \(H_{int}\) coupling agent states. | CONNECTION: The interference phase \(\delta\) in quantum cognition maps directly to geometric phase — when \(\cos(\delta) = 0.809\) (i.e., \(\delta = 36^\circ\)), the interference term yields the golden ratio conjugate \(0.618\) as a prob Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

DOI
10.5281/zenodo.23292806

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FINDING: Quantum cognition models human decision-making using quantum probability amplitudes, where interference terms (not classical Bayesian updates) govern context-dependent choice under uncertainty. | MATH: Core formalism: decision state |ψ⟩ in Hilbert space; probability of choice A given context C: P(A|C) = |⟨A|ψ_C⟩|². Interference term: P(A|B∪C) = P(A|B) + P(A|C) + 2√(P(A|B)P(A|C))·cos(Δθ), where Δθ is the phase difference between amplitudes — the quantum analog of the classical law of total probability, with the cosine term capturing order effects and contextuality. Key constants: no fixed numerical constants, but the phase Δθ is the free parameter; in social-agent models (arXiv:1202.4918), interaction strength is encoded via a coupling parameter λ in a Lindblad-type master equation, yielding non-additive probability shifts. | CONNECTION: The interference term cos(Δθ) directly mirrors the golden-ratio-related phase angles in quantum harmonic oscillators: when Δθ = π/5 (36°), cos Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
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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