The Universal Arrow of Time V-VI: (Part V) Unpredictable dynamics (Part VI) Future of artificial intelligence - Art, not Science: Practical Application of Unpredictable Systems
Oleg Kupervasser

TL;DR
This paper explores the limits of scientific predictability in physical systems, emphasizing that unpredictable systems challenge traditional science and suggesting future AI development will be more art-like, based on complex, incompletely understood systems.
Contribution
It introduces the concept of unpredictable dynamics in physical systems and discusses their implications for the future of artificial intelligence development.
Findings
Unpredictable systems cannot be fully described or predicted by scientific methods.
Real physical equations describe irreversible, macro-parameter-based dynamics.
Future AI will rely on complex, dissipative systems that are inherently unpredictable.
Abstract
The paper consists of the two independent papers:(Part V) We see that exact equations of quantum and classical mechanics describe ideal dynamics which is reversible and leads to Poincare's returns. Real equations of physics describing observable dynamics, for example, hydrodynamic equations of viscous fluid, are irreversible and exclude Poincare's returns to the initial state. Besides, these equations describe systems in terms of macroparameters or phase distribution functions of microparameters. For many systems introduction of macroparameters that allow exhaustive describing of dynamics of the system is impossible. Their dynamics becomes unpredictable in principle, sometimes even unpredictable by the probabilistic way. We will refer to dynamics describing such system as unpredictable dynamics. Dynamics of unpredictable systems is not described and not predicted by scientific methods.…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Computability, Logic, AI Algorithms · Quantum Mechanics and Applications
