The evolution of artificial intelligence: problems and prospects of rational cognition
DOI:
https://doi.org/10.37497/rev.artif.intell.educ.v5i00.29Keywords:
Information technology, Intelligent systems, Artificial intelligence, Technological aspectsAbstract
Objective: This article undertakes a comprehensive exploration of the constructivist paradigm in artificial intelligence (AI) development, aiming to uncover how constructivist perspectives shape our understanding of AI. It delves into the evolution of AI thought, emphasizing the significance of constructivist epistemology in comprehending AI's philosophical and cognitive dimensions.
Method: The study employs a variety of philosophical methodologies, including historical-philosophical analysis, comparative analysis of philosophical teachings, and a system-structural dialectical approach. These methods facilitate an in-depth examination of AI's conceptual intricacies within a constructivist framework, focusing on the relationship between artificial and natural intelligence and the epistemological implications of AI.
Results: The investigation reveals that the main challenge in AI research is the absence of clear problem-solving rules, highlighting the current limitations of human self-knowledge in logical and emotional intelligence. It showcases AI's vast capabilities, from extensive knowledge bases to real-time processing, and emphasizes AI's role in enhancing human cognitive processes.
Conclusions: Artificial intelligence, as a construct of human intellect, mirrors the capacity for design and creativity inherent in human thought. The study underscores AI's foundational role in the epistemology of science and technology, advocating for a holistic understanding of the human brain as a dynamic system to further our grasp of AI and its cognitive potential.
References
Ashby, W.R. (1941). The origin of adaptation. British Library, London. URL: http://www.gstatic.com/generate_204http://www.gstatic.com/generate_204http://www.gstatic.com/generate_204. Access date: June 11, 2021.
Condillac, E. B. (1805). Logic or mental science: Guiding to the Attainment of Truth. URL: http://wiki.kneu.edu.ua/HistOfEcoTeor. Access date: March 11, 2021.
Gowda, K. R. (2023). AI in education and beyond: transforming customer experiences and sectorial practices in the digital economy. Review of Artificial Intelligence in Education, 4, e8. https://doi.org/10.37497/rev.artif.intell.educ.v4i00.8 DOI: https://doi.org/10.37497/rev.artif.intell.educ.v4i00.8
Hegel, G. W. F. (1927). Sämtliche Werke. Jubiläumsausgabe, hg. H. Glockner, 36 Bd. - Stuttgart. URL: https://shron1.chtyvo.org.ua/Zavidniak_Bohdan/Teoditseia_Georha_Vilhelma_Fridrikha_Hegelia.pdf. Access date: June 11, 2021.
Iasechko, M., Shelukhin, O., & Maranov, A. (2021). Evaluation of the Use of Inertial Navigation Systems to Improve the Accuracy of Object Navigation. International Journal Of Computer Science And Network Security, 21(3), 71-75. URL: http://paper.ijcsns.org/07_book/202103/20210310.pdf. Access date: March 30, 2021.
Iasechko, M., Iasechko, S., & Smyrnova, I. (2021). Aspectos pedagogicos do autodesenvolvimento de alunos de educação a distancia na Ucrânia. Laplage Em Revista, 7(Extra-B), 316-323. URL: https://doi.org/10.24115/S2446-622020217Extra-B929p.316-323. Access date: June 11, 2021. DOI: https://doi.org/10.24115/S2446-622020217Extra-B929p.316-323
Kant, I. (1910). Achievements of metaphysics. On the form and principles of the sensible and intelligible world; II. The successes of metaphysics, 41-119. URL: http://kant-online.ru/o-kante/bibliografiya/trudy-kanta. Access date: March 11, 2021.
Lampou, R. (2023). The integration of artificial intelligence in education: opportunities and challenges. Review of Artificial Intelligence in Education, 4, e15. https://doi.org/10.37497/rev.artif.intell.educ.v4i00.15 DOI: https://doi.org/10.37497/rev.artif.intell.educ.v4i00.15
Silva, A. de O., & Janes, D. dos S. (2023). Challenges and opportunities of artificial intelligence in education in a global context. Review of Artificial Intelligence in Education, 4, e1. https://doi.org/10.37497/rev.artif.intell.education.v4i00.1 DOI: https://doi.org/10.37497/rev.artif.intell.education.v4i00.1
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