Quantum Probability Models Social Decision-Making Beyond Classical Logic — E8 Intelligence Research
FINDING: Quantum cognition models decision-making using quantum probability, not classical logic, with social interaction effects. | MATH: Quantum probability amplitudes replace classical probabilities; decision states as vectors in Hilbert space; interference terms from superposition; social interaction modeled via entanglement or density matrix mixing. | CONNECTION: No explicit geometric ratios (0.382, 0.618, 0.786, 1.618, 2.618), base-60, or crystallographic symmetries found in these sources. The Hilbert space structure is linear, not harmonic. | DEPTH: 4 — Novel application of quantum formalism to cognition, but no new mathematical constants or geometric insights; primarily a modeling framework. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
Authors
- Andrew Stewart Caldin
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-07-28
- DOI
- https://doi.org/10.5281/zenodo.21637418
- Primary Topic
- Cognitive Abilities and Testing
- Type
- preprint