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Machine translation of expressive means – metaphors 表达手段的机器翻译--隐喻
Pub Date : 2023-12-18 DOI: 10.17726/philit.2023.2.8
E. M. Khabarova
Technology has advanced significantly over the past decades. Significant changes have occurred in the field of translation with the development of programs such as Google.translate and Yandex.translator. The presented applications are already being actively implemented in translation agencies to optimize translation activities, where written translations of documents, articles, annotations, etc. must be provided to customers as quick as possible. While working with popular science text, online programs help translators gain time, but this requires to edit the text. The artistic style requires more concentration and dedication, because. the means of expression presented in it require taking into account the context and nuances of the use of certain units of language. Machine translation has the potential to become an indispensable assistant in the hands of a translator. This article discusses machine translation of expressive means, namely metaphors. The study is illustrated with examples and a comparative analysis of the translation of metaphorical units is carried out, the classification of metaphors is identified and an analysis is carried out with which means of expression the translator is able to cope with. The difficulties of translating metaphors are analyzed.
在过去的几十年里,技术取得了长足的进步。随着 Google.translate 和 Yandex.translator 等程序的开发,翻译领域发生了重大变化。这些应用程序已在翻译公司得到积极应用,以优化翻译活动,其中文件、文章、注释等的书面翻译必须尽快提供给客户。在处理科普文本时,在线程序可以帮助译员赢得时间,但这需要对文本进行编辑。艺术风格需要更多的专注和投入,因为其中的表达方式需要考虑到语境和使用某些语言单位的细微差别。机器翻译有可能成为译员手中不可或缺的助手。本文讨论了表达手段(即隐喻)的机器翻译。文章通过实例说明了这项研究,并对隐喻单元的翻译进行了比较分析,确定了隐喻的分类,分析了译员能够应对哪些表达方式。分析了隐喻翻译的难点。
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引用次数: 0
Education Testing System by Artificial Intelligence 人工智能教育测试系统
Pub Date : 2023-12-18 DOI: 10.17726/philit.2023.2.7
A. E. Ryabinin
The article describes the possibilities of using and modifying existing machine learning technologies in the field of natural language processing for the purpose of designing a system for automatically generating control and test tasks (CTT). The reason for such studies was the limitations in generating theminimumrequired amount ofCTtomaintain student engagement in game-based learning formats, such as quizzes, and others. These limitations are associated with the lack of time resources among training professionals for manual generation of tests. The article discusses the applied research of the Large Language Model (LLM) and Generative pre-trained transformer (GPT) technologies for the development of a system for automatic generation of tests for the purpose of its implementation in the BoxBattle gamified learning platform. The result of such applied research can be a system for automatic generation of tests, which will reduce the time for developing tests. As a result, this will allow teachers to free up time to implement a personalized approach to teaching and develop students’soft skills.
文章介绍了在自然语言处理领域使用和修改现有机器学习技术的可能性,目的是设计一个自动生成控制和测试任务(CTT)的系统。开展此类研究的原因是,在生成最低数量的控制和测试任务(CTT)以保持学生参与游戏式学习(如测验等)方面存在局限性。这些局限性与培训专业人员缺乏手动生成测试的时间资源有关。本文讨论了大语言模型(LLM)和预训练生成转换器(GPT)技术在开发自动生成测试系统方面的应用研究,该系统将在 BoxBattle 游戏化学习平台中实施。这种应用研究的成果可以是一个自动生成测试的系统,它将减少开发测试的时间。这样,教师就可以腾出时间,实施个性化教学,培养学生的软技能。
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引用次数: 0
Biophysical approach to modeling reflection: basis, methods, results 建立反射模型的生物物理方法:基础、方法和结果
Pub Date : 2023-12-18 DOI: 10.17726/philit.2023.2.9
S. I. Bartsev, G. Markova, A. I. Matveeva
The approach used by physics is based on the identification and study of ideal objects, which is also the basis of biophysics, in combination with von Neumann heuristic modeling and functional fractionation according to R.Rosen is discussed as a tool for studying the properties of consciousness. The object of the study is a kind of line of analog systems: the human brain, the vertebrate brain, the invertebrate brain and artificial neural networks capable of reflection, which is a key property characteristic of consciousness. Reflection in the broad sense of the word, understood as an internal representation of the external world, is characteristic of a wide range of animals, and some of them (bumblebees, fish) even demonstrate reflection in the narrow sense of the word, understood as an inner self-representation. This complex behavior is realized by miniature brains of ~1 million neurons. The use of simple recurrent neural networks (RNNs) to obtain answers to general questions is illustrated. For example, it has been shown a small RNS is able to pass delayed matching to sample (DMTS) test, forming an individual dynamic representation of the received stimulus, allowing decoding by a special external neural detector. . It has been demonstrated in the reflexive game “even-odd”, the RNS has a huge advantage over a multi-layered neural network, with the same and a larger number of neurons – reflection defeats regression. It was found that the asymmetry of outcomes in the odd-even game, which was explained by various causes, including psychological ones – “it’s easier to catch up than to run away”, is reproduced in the game of two RNNs. Obviously, there are no psychological causes here and the advantage of the player playing for “even” is explained by the more complex strategy of the “odd” player – he needs to predict the opponent’s move and choose the opposite one.
物理学使用的方法是基于理想对象的识别和研究,这也是生物物理学的基础,结合冯-诺伊曼启发式建模和罗森(R.Rosen)认为的功能分化,作为研究意识特性的工具进行了讨论。研究对象是一系列模拟系统:人脑、脊椎动物脑、无脊椎动物脑和能够反射的人工神经网络,这是意识的一个关键特征。广义的 "反射 "被理解为对外部世界的内部再现,是多种动物的特征,其中一些动物(大黄蜂、鱼类)甚至表现出狭义的 "反射",被理解为内在的自我再现。这种复杂的行为是由约 100 万个神经元组成的微型大脑实现的。图中展示了如何利用简单的递归神经网络(RNN)来获得一般问题的答案。例如,研究表明,一个小型 RNS 能够通过延迟匹配采样(DMTS)测试,对接收到的刺激形成一个单独的动态表征,从而可以通过一个特殊的外部神经检测器进行解码。.研究证明,在反射游戏 "偶数-多数 "中,与神经元数量相同或更多的多层神经网络相比,RNS 具有巨大优势--反射战胜回归。研究发现,奇数-偶数游戏中结果的不对称性可以用各种原因来解释,其中包括心理原因--"追赶比逃跑容易",而这种不对称性在两个 RNN 的游戏中得到了重现。显然,这里不存在心理原因,"奇数 "棋手更复杂的策略解释了 "偶数 "棋手的优势--他需要预测对手的棋步并选择相反的棋步。
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引用次数: 0
Connection of body and mind: How the brain controls body reactions 身体与心灵的联系:大脑如何控制身体反应
Pub Date : 2023-12-18 DOI: 10.17726/philit.2023.2.6
V. M. Presnyakova
This article is devoted to the study of the peculiarities of the functioning of the connection between the brain and the body, the analysis of possible disturbances in the transmission of information impulses from the brain to the body and consideration of the causes of distortion and defects in the implementation of this connection. The specifics of the connection between the brain and the body are considered from the point of view of various areas: neurophysiological, anatomical, psychological. Examples of communication distortion and reasons for incorrect transmission of the reaction are given. An analysis of all possible factors influencing the implementation of the connection under consideration is carried out, various types of violations are listed, and methods for correcting these violations are also presented. The result of this study is the structuring of information about the functioning of the connection between the brain and the body, consideration of all special cases of defectiveness of this connection and an explanation of the reasons for their occurrence. The article will be of practical benefit to specialists in the field of neurobiology.
这篇文章专门研究大脑与身体之间联系运作的特殊性,分析大脑向身体传递信息脉冲过程中可能出现的干扰,并探讨这种联系在实施过程中出现扭曲和缺陷的原因。从神经生理学、解剖学、心理学等不同领域的角度来考虑大脑与身体之间联系的具体情况。举例说明交流失真和反应传递错误的原因。分析了影响所考虑的连接执行的所有可能因素,列出了各种类型的违规行为,并介绍了纠正这些违规行为的方法。这项研究的成果是构建了关于大脑和身体之间联系功能的信息,考虑了这种联系缺陷的所有特殊情况,并解释了发生这些情况的原因。这篇文章将对神经生物学领域的专家有实际帮助。
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引用次数: 0
Heuristic modeling of reflection in reflexive games 反思性游戏中的反思启发式建模
Pub Date : 2023-12-18 DOI: 10.17726/philit.2023.2.5
G. Markova, S. I. Bartsev
The functioning of a subject in a changing environment is most effective from the point of view of survival if the subject can form, maintain and use internal representations of the external world for decision-making. These representations are also called reflection in a broad sense. Using it, one can win in reflexive games since an internal representation of the enemy allows predicting their future moves. The goal is to assess the reflexive potential of heuristic model objects – artificial neural networks – in the reflexive games “Even-Odd” (or “Matching pennies”) and “Rock-Paper-Scissors”. We used homogeneous fully connected neural networks of small sizes (from 8 to 45 neurons). Games were played between neural networks with different configurations and parameters (size, step size for modifying weight coefficients). A set of reflexivity criteria is presented, corresponding to different levels of consideration: neuronal, behavioral, formal. The transitivity of formal success in the game is shown. The most successful configurations, however, may not meet other criteria of reflexivity. We hypothesize that the best compliance with the criteria and, as a consequence, universal success in reflection tasks is achievable for heterogeneous configurations with a structure in which the formation of hierarchical systems of attractors is possible.
如果主体能够形成、保持和使用外部世界的内部表象来进行决策,那么从生存的角度来看,主体在不断变化的环境中的运作是最有效的。从广义上讲,这些表征也称为反思。利用它,一个人可以在反思性游戏中获胜,因为对敌人的内部表征可以预测他们未来的行动。我们的目标是评估启发式模型对象--人工神经网络--在 "偶数-奇数"(或 "硬币匹配")和 "石头-剪子-布 "反思游戏中的反思潜力。我们使用了小规模的同质全连接神经网络(从 8 到 45 个神经元)。游戏在具有不同配置和参数(大小、修改权重系数的步长)的神经网络之间进行。根据神经元、行为和形式等不同层面的考虑,提出了一套反身性标准。在游戏中,形式上的成功具有传递性。然而,最成功的配置可能并不符合其他反身性标准。我们假设,对于异质配置来说,它们的结构有可能形成分层的吸引子系统,因此,在反思任务中,它们最符合标准,也能取得普遍的成功。
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引用次数: 0
Social Character of Artificial Intelligence Technologies 人工智能技术的社会特征
Pub Date : 2023-12-18 DOI: 10.17726/philit.2023.2.2
N. V. Danielyan
The article considers modern transformations of the ideas concerning subject’s cognitive abilities towards object because of the emergence and development of artificial intelligence (AI) technologies. The developments of scientists and engineers from National Research University of Electronic Technology (Moscow, Russia) in the field of artificial intelligence have been taken as a foundation and material of this research. Their analysis allows making a conclusion that the humanity is rather far from the realization of ‘strong artificial intelligence’. We need a qualitative breakthrough in AI material and technological basis for it. Applying ‘model-dependent realism’ by S. Hawking in the course of the speculations in the article, the author concludes that the purpose of cognition in modern science is not to describe an objective reality, but to organize its subjective perception by some definite way. So, the purpose of cognition is the perfection of cognition models permitting a subject ‘to capture’ the reality. This idea is completely confirmed by Maturana and Varela’s autopoiesis theory and von Foerster’s ‘second-order cybernetics’. The article drafts some prospects of moving away from post-nonclassical scientific thinking in its current understanding, because the development of AI technologies results in ‘blurring’ borders of subjectivity in the cognition process. The author concludes that the modern world is moving in another epistemological paradigm where a new scientific revolution is inevitable.
文章探讨了由于人工智能(AI)技术的出现和发展,有关主体对客体的认知能力的思想的现代转变。国立电子科技大学(俄罗斯莫斯科)的科学家和工程师们在人工智能领域的研究成果是本研究的基础和素材。他们的分析得出结论,人类距离实现 "强人工智能 "还相当遥远。我们需要在人工智能材料和技术基础上实现质的突破。在文章的推测过程中,作者运用了霍金的 "依赖模型的现实主义",得出结论认为,现代科学认知的目的不是描述客观现实,而是以某种明确的方式组织主观感知。因此,认知的目的是完善认知模型,允许主体 "捕捉 "现实。马图拉纳和瓦雷拉的自组织理论以及冯-福尔斯特的 "二阶控制论 "完全证实了这一观点。由于人工智能技术的发展导致认知过程中的主观性边界 "模糊",因此文章提出了一些摆脱当前理解中的后非经典科学思维的前景。作者的结论是,现代世界正朝着另一种认识论范式发展,一场新的科学革命在所难免。
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引用次数: 0
Strategies for translating machine errors in automatically generated texts (using GPT-4 as an example) 自动生成文本中机器错误的翻译策略(以GPT-4为例)
Pub Date : 2023-06-27 DOI: 10.17726/philit.2023.1.4
V. I. Aleynikova
The article discusses the strategies of translation of «machine texts» on the example of generative transformers (GPT). Currently, the study and development of machine text generation has become an important task for processing and analyzing texts in different languages. Modern technologies of artificial intelligence and neural networks allow us to create powerful tools for activities in this field, which are becoming more and more effective every year. Generative transformers are one of such tools. The study of generative transformers also allows developers to create more accurate and efficient machine translation algorithms, which improves the quality of translations and improves the user experience. In this context, the features of machine texts created by generative transformers, their patterns, errors and imperfections, which require special translation strategies, deserve special interest. Today we can say that the generation of unique and relevant texts is a routine task that has been automated. Nevertheless, certain restrictions for the use of such texts still exist, in particular, their use requires the use of appropriate translation strategies. The paper proposes the author’s typology of translation strategies, where, taking into account the features of AST, it is proposed to add a substrategy of tertiary-moderation translation.
本文以生成转换器(GPT)为例,探讨了机器文本的翻译策略。目前,机器文本生成的研究和发展已经成为处理和分析不同语言文本的重要任务。人工智能和神经网络的现代技术使我们能够为这一领域的活动创造强大的工具,这些工具每年都变得越来越有效。生成式变压器就是其中一种工具。对生成式变形器的研究也使开发人员能够创建更准确、更高效的机器翻译算法,从而提高翻译质量,改善用户体验。在这种背景下,生成式变形所创造的机器文本的特征,它们的模式、错误和缺陷,需要特殊的翻译策略,值得特别关注。今天,我们可以说,生成独特和相关的文本是一项已经自动化的例行任务。然而,对这些文本的使用仍然存在一定的限制,特别是它们的使用需要使用适当的翻译策略。本文提出了作者的翻译策略类型学,其中考虑到AST的特点,建议增加第三次适度翻译的子策略。
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引用次数: 0
Barriers to the integration of digital twin technology in manufacturing 数字孪生技术在制造业整合的障碍
Pub Date : 2023-06-27 DOI: 10.17726/philit.2023.1.5
N. I. Prytkov, A. Zamorev
Industry over the last ten years has been characterized by a high level of digital transformation, affecting all layers of production and all areas of the economy. One of the key trends in the digitalization of industry is the digital twin – a system that combines a physical object, its digital model, and a continuous link between the two. However, the integration of such a complex technological solution is fraught with a number of barriers that arise in one way or another in the way of technology users. The authors of the article analyzed 100 examples of digital twin use in industry according to 7 criteria, among which the scope of technology application, the most problematic stage of its integration, key technological, organizational, ecosystem and economic barriers, as well as recommendations on overcoming these barriers, which have been applied or are in the process of application, were highlighted. The article contains a layer of statistical data and infographics that confirm the key conclusions about the main barriers to the integration of digital twins, among which the lack of devices and equipment with the necessary capacity, the lack of existing strategies for the technology implementation, the lack of standards for industry regulation and high initial investment are the main ones. Each block of barriers is accompanied by real examples (cases) of use of digital twin in the domestic and foreign industry, among which there are such companies as KamAZ, UEC-Klimov, Tesla, Volvo, Norske Shell and others.
在过去十年中,工业的特点是高水平的数字化转型,影响了生产的各个层面和经济的各个领域。工业数字化的关键趋势之一是数字孪生——一个将物理对象、其数字模型以及两者之间的连续联系结合在一起的系统。然而,这样一个复杂的技术解决方案的集成充满了许多障碍,这些障碍以这样或那样的方式出现在技术用户的道路上。本文根据7个标准对100个数字孪生在工业中的应用案例进行了分析,重点分析了技术应用范围、集成问题最大的阶段、关键技术、组织、生态系统和经济障碍,以及已经应用或正在应用的障碍的克服建议。文章包含了一层统计数据和信息图表,证实了数字孪生整合的主要障碍的关键结论,其中缺乏必要的设备和设备,缺乏现有的技术实施战略,缺乏行业监管标准和高初始投资是主要的。每一块壁垒都伴随着数字孪生在国内外行业中使用的真实例子(案例),其中有KamAZ、UEC-Klimov、Tesla、Volvo、Norske Shell等公司。
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引用次数: 0
Can the machine smell? The problem of the universal olfactory dictionary 机器有气味吗?通用嗅觉词典的问题
Pub Date : 2023-06-26 DOI: 10.17726/philit.2023.1.2
L. Velis
In technology research, much has been achieved in the field of visual and auditory analysis as compared to the perception of smells. This article discusses the latest advances in the field of electronic (E-nose) used to recognize the olfactory code. All studies can be conditionally divided according to the goals into: 1. Research aimed at the practical application of electronic systems in areas such as food industry, medicine, the environment, etc. 2. Research aimed at cognitive processes and psycho-emotional reactions of a person during olfactory experience, as well as the ability of a machine to predetermine human reactions to various smells. In this case, an important role is played by language, which acts as a representation of olfactory sensations. The methods of conceptual and semantic analysis are becoming more and more in demand in studies devoted to machine recognition of the olfactory code.
在技术研究中,与嗅觉感知相比,视觉和听觉分析领域已经取得了很大的成就。本文讨论了用于识别嗅觉代码的电子鼻领域的最新进展。所有的研究可以根据目标有条件地分为:1。研究电子系统在食品工业、医药、环境等领域的实际应用。这项研究旨在研究人在嗅觉体验过程中的认知过程和心理情绪反应,以及机器预先确定人类对各种气味的反应的能力。在这种情况下,语言扮演了一个重要的角色,它作为嗅觉感觉的表征。在嗅觉代码的机器识别研究中,越来越需要概念分析和语义分析的方法。
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引用次数: 0
Transformation the information society into the digital one: the problem of definition 信息社会向数字社会的转型:定义问题
Pub Date : 2023-06-26 DOI: 10.17726/philit.2023.1.3
I. I. Keosidi, Yu. I. Keosidi
The scientific and technological progress permeates inexorably into all spheres of society, regardless of their wishes. Information technologies transform the daily life of every person to such an extent that the society itself is commonly called an information society. It is impossible to study the processes of information society without a fundamental understanding of the concept itself. This creates a basis for analyzing the mechanisms of dynamics of transformation processes evolving with the developing society. The only way to proceed successfully is to use a comprehensive systematic approach, based on the synthesis of theories, principles, techniques of research that will be able to provide both an increase in socio-philosophical knowledge, and the utilitarian efficiency of practical construction and management of transformation processes.This creates the goal of the article – to formulate our own description of the information society, including the definition and the list of its key characteristics. The goal is the basis for the article’s task: to prepare a theoretical basis for further, more in-depth research into the prospects of information society development.
科技进步无情地渗透到社会的各个领域,不管人们的意愿如何。信息技术改变了每个人的日常生活,以至于这个社会本身通常被称为信息社会。如果没有对信息社会概念本身的基本理解,就不可能研究信息社会的进程。这为分析随着社会发展而演变的转型过程的动力机制奠定了基础。成功进行的唯一途径是采用一种综合系统的方法,以综合理论、原则和研究技术为基础,既能增加社会哲学知识,又能提高实际建设和管理转型过程的实用效率。这就形成了本文的目标——形成我们自己对信息社会的描述,包括信息社会的定义和关键特征的列表。目标是本文任务的基础:为进一步、更深入地研究信息社会的发展前景奠定理论基础。
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引用次数: 0
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Philosophical Problems of IT & Cyberspace (PhilIT&C)
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