自然-人工智能理论

Dev Arastu Panchariya
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引用次数: 0

摘要

近年来,人类正在寻求某些特殊的解决方案,以解决包含相同的非常基本哲学的多个方面,即,当然打算将非决定论作为原始先决条件;然而,这种不确定性本身就像一个充满决定论的空间,就像量子计算一样,量子比特和相应的复杂性。同时,也有算法和数学框架;在建立在原则之上的基础理论中产生必要的区别,然后产生各自的客观化。但是,当涉及到人工智能和机器学习时,为了将其他制度联系起来,就会发现一些数学上的差距。本文提出的发现是关于填补一些空白,就像人工智能的整个结构在涉及人与机器之间或超越此类类比的响应分析领域尚未发展一样。因此,这一理论的整个介绍和激励是用数学方法确定深层理性作为人类大脑的反应表现,用设计的计算,两者都具有最高的潜在归因或重叠程度,这两种情况都将在数学上表现出来,作为相互分离和清晰的识别。
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The Theory of Natural-Artificial Intelligence
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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