精确的思维工具和计算机科学对专业实践的影响

Victor Maratovich Trofimov
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摘要

介绍。IT专业人员的主要智力能力包括思维文化,概括、分析和感知信息的能力。但是我们今天所说的思考文化是什么意思呢?如果像领先的it公司对大学毕业生的要求那样,以一致性和创造性为基础,那么它立即表明了对新合格专业人员的预期思维质量的要求的复杂性,甚至是不一致的。因为,一方面,他们需要能够将可用的数据系统化,形成一定的结构;另一方面,他们必须放弃现有的解决方案,并实现一个根本不同的解决方案。本文的目的是识别专业实践中思维工具的核心,并使用集合理论分析对其进行精确描述。材料与方法。我们从这样一个事实出发,即思维作为现实本质的一部分,当它满足至少三个条件时,达到专业实践所需的水平:对特定系统或过程的描述的稳定性、准确性和完整性。由于我们不能从历史和文化的认知方式中提取思维,这有时被称为知识,因此有必要首先依靠这样一个背景的例子,如人口的语言状态的演变和信息空间中分布式系统设计的架构的演变。数学基础是从教学经验和使用集合理论方法在数学学科在计算机领域的研究。结果。在提出的方法框架内,一些重要的专业思维工具是用计算机科学的精确语言制定的。描述了客观思维的稳定保留、意义保留的准确性、系统的最小完整性、拼凑性和创造性可视化基本图形的可选性的结构。这种方法允许看到不同语言发展的分支逻辑,以及软件系统发展的逻辑。结论。集合论的思维工具揭示了现代信息环境下分布式系统发展的逻辑,显然对各个知识领域的思维工具产生了重大影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Precise thinking tools and the impact of computer science on professional practice
Introduction. The main intellectual competence of IT professionals includes culture of thinking, the ability to generalize, analyze, and perceive information. But what do we mean by the culture of thinking today? If it is based on consistency and creativity, as leading IT-companies require from university graduates, it immediately indicates the complexity and even inconsistency of the requirements for the expected qualities of thinking from newly-qualified professionals. Because, on the one hand, they need to be able to systematize the available data into a certain structure; on the other hand, they have to abandon the existing one and achieve a fundamentally different solution. The purpose of this article is to identify the core of thinking tools in professional practice and describe precisely them using set-theoretical analysis. Materials and Methods. We proceed from the fact that thinking, as a part of the nature of reality, reaches the level required for professional practice when it satisfies at least three conditions: stability, accuracy and completeness of the description of a particular system or process. Since we cannot extract thinking from historical and cultural way of cognition, which is sometimes called an episteme, it is necessary, first of all, to rely on examples of such a context as the evolution of the linguistic state of the human population and the evolution of the architecture of the design of distributed systems in the information space. The mathematical basis is taken from the experience of teaching and using the set-theoretical method in mathematics disciplines within computer fields of study. Results. Within the framework of the proposed methodology, some important tools of professional thinking are formulated in the precise language of computer science. The structures of stable retention of objective thinking, the accuracy of retention of meaning, the minimum completeness of the system, bricolage and the option of the basic figure of creativity visualization are described. This methodology allows to see the logic of branching in the evolution of different languages, as well as the logic of the evolution of software systems. Conclusions. The set-theoretical tools of thinking reveal the logic within the development of distributed systems in the modern information environment and, apparently, significantly affect the tools of thinking in various fields of knowledge.
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