当代哲学中的人工智能问题

IF 0.8 Q4 NEUROSCIENCES
Iryna Maidaniuk, T. Tsoi, I. Hoian, M. Doichyk, O. Patlaichuk, O. Stupak
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引用次数: 0

摘要

文章主题的重要性是由于现在有必要了解人工智能的创造与自然智能的理解和研究有关。定义人工智能的问题在很大程度上被简化为定义一般的智能:智能是单一的还是这个概念定义了一系列不同的能力?智力可以被创造到什么程度?有可能创造出具有智能的计算机吗?这些问题和其他问题还没有被当代科学所回答,但这些问题极大地促进了任务和方法的形成,这些任务和方法构成了当代哲学中人工智能理论和实践的基础。本文的目的是需要研究和证实人工智能系统发展全面成功的指标;证明人的心理现实是一个非线性的开放系统;证明标志和心理机器在哲学人工智能发展中的有效性。文章对“人工智能”和“标识与心理机器”的概念进行了理论论证;由于人工智能的科学方向还很年轻,其结构和问题范围还没有如此明确的界定,我们这个时代人工智能发展的有效性的条件得到了凸显。现在有可能在机器中实现正式的推理系统,并在实践中测试其合理性的充分性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Problem of Artificial Intelligence in Contemporary Philosophy
The importance of the topic of the article is due to the fact that nowadays there is a need to understand that the creation of artificial intelligence is associated with the understanding and study of natural intelligence. The problem of defining artificial intelligence is largely reduced to defining intelligence in general: is intelligence monolithic or does this concept define a set of different abilities? To what extent intelligence can be created? Is it possible to create computers with intelligence? These and other questions have not yet been answered by the contemporary science, but these questions have greatly contributed to the formation of tasks and methodologies that form the basis of the theory and practice of contemporary artificial intelligence in philosophy. The purpose of the article is the need to study and substantiate the indicators of overall success in the development of artificial intelligence systems; proving that human psychoreality is an open system of nonlinear type; proving the effectiveness of logo and psycho-machines in the development of artificial intelligence in philosophy. The article gives a theoretical justification for the concepts of “artificial intelligence” and “logo and psycho machines”; the conditions for the effectiveness of the development of artificial intelligence in our time are highlighted, as the scientific direction of artificial intelligence is young, and its structure and range of issues are not so clearly defined. It is now possible to implement formal systems of reasoning in the machine and test their sufficiency for the manifestation of reasonableness in practice.
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