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The Theory of Natural-Artificial Intelligence
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In recent times, mankind is seeking for certain peculiar solutions to multiple facets containing an identically very fundamental philosophy i.e., certainly intend to have indeterminism as a primordial prerequisite; however, that indeterminism is itself like a void filled with determinism as analogous to the quantum computing as qubits and the corresponding complexity. In the meantime, there are algorithms and mathematical frameworks and those in general; yield the required distinctions in the underlying theories constructed upon principles which then give rise to respective objectifications. But, when it comes to the Artificial Intelligence and Machine Learning, then there find some mathematical gaps in order to connect other regimes in relation of one and the other. The proposed discovery in this paper is about quilting some of those gaps as like the whole structure of Artificial Intelligence is yet to be developed in the realm concerning with responsive analysis in betwixt to humans and machines or beyond to such analogy. Hence, the entire introduction & incitement of this theory is to mathematically determine the deep rationality as responsive manifestation of human brain with a designed computing and both with the highest potential degree of attributions or overlaps and both the conditions will be shown mathematically herewith as identifications that make each other separate and clear to persuade.
European Open Science Publishing
Title: The Theory of Natural-Artificial Intelligence
Description:
In recent times, mankind is seeking for certain peculiar solutions to multiple facets containing an identically very fundamental philosophy i.
e.
, certainly intend to have indeterminism as a primordial prerequisite; however, that indeterminism is itself like a void filled with determinism as analogous to the quantum computing as qubits and the corresponding complexity.
In the meantime, there are algorithms and mathematical frameworks and those in general; yield the required distinctions in the underlying theories constructed upon principles which then give rise to respective objectifications.
But, when it comes to the Artificial Intelligence and Machine Learning, then there find some mathematical gaps in order to connect other regimes in relation of one and the other.
The proposed discovery in this paper is about quilting some of those gaps as like the whole structure of Artificial Intelligence is yet to be developed in the realm concerning with responsive analysis in betwixt to humans and machines or beyond to such analogy.
Hence, the entire introduction & incitement of this theory is to mathematically determine the deep rationality as responsive manifestation of human brain with a designed computing and both with the highest potential degree of attributions or overlaps and both the conditions will be shown mathematically herewith as identifications that make each other separate and clear to persuade.
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