Интуиция как девайс познания в эпоху цифровизации: преимущества и опасности применения

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The article examines the increased interest in the phenomenon of intuition in the digital age. According to the authors, the use of intuition as a heuristic tool for generating ideas, hypothesizing and evaluating arguments within the framework of philosophical and scientific knowledge is the most important task of modern individuals. In an effort to analyze the conditions under which intuition will contribute to improving the quality of scientific and philosophical research, the authors show various interpretations of the concept of “intuition” in the history of philosophy, highlighting the complexity and versatility of this phenomenon. Intuition, according to the authors, serves as a voice of the unconscious, to which the reins of rationality and critical thinking are applied. Amidst a crisis of rationality, intuition emerges as an irrational impulse that problematizes existing knowledge, thereby facilitating the production of new hypothetical insights. The aim of the article is to conduct a philosophical analysis of the risks associated with the application of intuition in the process of cognition, while simultaneously expanding the potential applicability of intuition in the digital world. Methodological basis of the research incorporates elements of historical-philosophical reconstruction, philosophical questioning, and employs both a systemic approach and methods of philosophical analysis. Following the point of view of coherence, the authors suggest that intuitive judgments embedded within a broader system of propositions contribute to structuring philosophical and scientific arguments in a coherent sequence. The authors conclude that intuition in the era of digitalization is a valuable heuristic tool associated with the level of development of metacognitive awareness, with the work of productive imagination and critical thinking. These processes together enable the utilization of intuition as a starting point for further analysis of problems, thus increasing its effectiveness and minimizing the risks of erroneous decisions.