The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
A Bohmian Framework for Quantum Potentials in AI Governance: Mills-Validated Empirics for Value Measurement
Abstract
Quantum-substantiated AI provider value measurement model grounded in regulatory uncertainty and Bohmian mechanics institutes AI Growth-Stability Evolution Equation, ΔG⋅ΔS≥k*(1+β*IF), quantifies innovation potential and regulatory compliance trade-offs through quantum potential Q(r,t), classical regulatory forces V(r,t), and internal governance U(x). While not regulatorily tested, Mills' four inductive methods validated Lennard-Jones-Sheldrake-Aharonov-Bohm findings, correlating with Hierarchical Reasoning Model (HRM), proving nonlocal influence as a universal organizing principle across interdisciplinary potentials. Correspondence and complementarity methods: (1) mathematically enact time-dependent AI regulatory Hamiltonian Ĥ=[-(ħ2/2m)∇2+V(r,t)+Q(r,t)+U(x)]ψ(r,t); (2) capture quantum-to-classical shifts in Boolean algebra (a∧b∧c)∨(a∧b∧c′)∨(a∧b′∧c)∨(a′∧b∧c); (3) enable proof with AI solenoids proving field-free regulatory interference. Quantized harmonic oscillator models, spectral coherence (E=hv), capture invisible value indicators of “AI curvature”, enable nuanced evaluation.
Related Content
|
Milan B. Vemić.
© 2026.
32 pages.
|
|
Shijie Li.
© 2023.
14 pages.
|
|
Subbarao Pothineni.
© 2023.
19 pages.
|
|
Shradha Gupta, Subodh Kumar Dwivedi.
© 2022.
10 pages.
|
|
Pratap Chandra Mandal.
© 2022.
12 pages.
|
|
Albérico Travassos Rosário.
© 2021.
16 pages.
|
|
Chijioke E. Nwachukwu, Timothy Onechojon Usman, Sadiq Oshoke Akhor, Agboola Omoniyi Oladipupo.
© 2021.
12 pages.
|
|
|