Hybrid Super Intelligence and Polymetric Analysis
Vladislav Dorofeev, Petro Trokhimchuk
TL;DR
This paper explores how polymetric analysis can be applied to enhance hybrid super intelligence systems, proposing a unification of Moiseev's concept with polymetric analysis to address AI problems.
Contribution
It introduces a novel approach to unify Moiseev's hybrid super intelligence with polymetric analysis, expanding the application scope for AI problem-solving.
Findings
Polymetric analysis is more general than hybrid super intelligence systems.
A theoretical framework for unifying Moiseev's system with polymetric analysis is proposed.
Main principles of Moiseev's concept can be integrated using polymetric analysis.
Abstract
The problem of possible applications Polymetric Analysis for the resolution problems of artificial Intelligence is discussed. As example the hybrid super intelligence system by N. Moiseev type was selected. The bond between polymetric analysis and hybrid super intelligence system was shown. In operational sense polymetric analysis is more general system. Therefore main principles of Moiseev concept may be unify with the help of polymetric analysis. Main peculiarities of this unification are analyzed.
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Taxonomy
TopicsTechnology and Human Factors in Education and Health