SUN’IY INTELLEKT VA IQTISODIY RIVOJLANISH TUSHUNCHALARI

Authors

  • Faxriddin Bekpulatovich Abdirazakov
  • Ruslan Tuylibayevich Baydullayev

Keywords:

Sun’iy intellekt, iqtisodiy rivojlanish, texnologiya, iqtisodiyot, bibliometrik tahlil.

Abstract

Sun’iy intellektning iqtisodiy rivojlanishdagi cheksiz imkoniyatlaridan tezda foydalanish imkonini beradi va kundalik kichik suhbatdosh aqlli robotlardan tortib yirik sanoat va butun dunyo bo‘ylab hayot tarzini jimgina o‘zgartiradi va boshqaradi, bu esa ushbu sohadagi kelajakdagi tadqiqotlar uchun muhim ma’rifiy kuch va rag‘batlantiruvchi ta’sirga ega bo‘ladi.

References

Aghion, P., Jones, B. F., & Jones, C. I. (2018). Artificial intelligence and economic growth. In The economics of artificial intelligence: An agenda (pp. 237–282). University of Chicago Press.

Aghion, P., Antonin, C., & Bunel, S. (2019). Artificial intelligence, growth and employment: The role of policy. Economie et Statistique, 510(1), 149–164.

Alami, H., Rivard, L., Lehoux, P., Hoffman, S. J., Cadeddu, S. B. M., Savoldelli, M., & Fortin, J.-P. (2020). Artificial intelligence in health care: Laying the Foundation for Responsible, sustainable, and inclusive innovation in low- and middle-income countries. Globalization and Health, 16(1), 52.

Albayrak, A., Duran, F., & Bayir, R. (2021). Development and evaluation of a web- based intelligent decision support system for migratory beekeepers in Turkey to follow nectar resources. Journal of Apicultural Research, 60(3), 396–404.

Allam, Z., & Dhunny, Z. A. (2019). On big data, artificial intelligence and smart cities. Cities, 89, 80–91.

Ante, L., Steinmetz, F., & Fiedler, I. (2021). Blockchain and energy: A bibliometric analysis and review. Renewable and Sustainable Energy Reviews, 137, 110597.

Anton, E., Oesterreich, T. D., Schuir, J., Protz, L., & Teuteberg, F. (2021). A business model taxonomy for start-ups in the electric power industry - The electrifying effect of artificial intelligence onbusiness model innovation. International Journal of Innovation and Technology Management, 18(03). https://doi.org/10.1142/s0219877021500048

Arabameri, A., Saha, S., Roy, J., Tiefenbacher, J. P., Cerda, A., Biggs, T., & Collins, A.

L. (2020). A novel ensemble computational intelligence approach for the spatial prediction of land subsidence susceptibility. Science of the Total Environment, 726, 138595.

Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975.

Azizi, A. (2020). Applications of artificial intelligence techniques to enhance sustainability of Industry 4.0: Design of an artificial neural network model as dynamic behavior optimizer of robotic arms. Complexity, 2020, 8564140.

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Published

2023-11-23