ILMIY ANALITIKANI AVTOMATLASHTIRISH: ILG’OR SUN’IY INTELLEKT YORDAMIDA YARATILGAN VA QO’LDA LOYIHALASHTIRILGAN MA’LUMOTLAR KONVEYERLARINI QIYOSIY TAHLILI

Qabul qilingan: 2026-05-29

Nashr etilgan: 2026-06-06

Annotatsiya

Ushbu maqolada dasturchilar tomonidan qo'lda yaratilgan ilmiy analitika ma'lumotlar konveyerlari ilg'or agentli TI (Sun'iy intellekt) freymvorklari (AutoGen, AutoGPT, OpenAgents, OpenHands, Claude va Gemini) tomonidan yaratilgan yechimlar bilan empirik jihatdan taqqoslanadi. Dastlab, minglab hujjatlarni barqaror yig'ish, semantik filtrlash va klasterlashni ta'minlaydigan ikkita mustaqil qo'lda yaratilgan konveyer tavsiflanadi. So'ngra TI agentlarining xuddi shunday funktsionallikni qayta yaratish qobiliyati baholanadi. Empirik natijalar shuni ko'rsatadiki, TI tomonidan yaratilgan kod API-dan noto'g'ri foydalanish, sohaviy xatoliklar va ishonchlilik mexanizmlarining (keshlash, dedublikatsiya) yo'qligidan aziyat chekadi. TI kodini nosozliklarini tuzatish vaqti (35–150+ soat) noldan qo'lda tizim yaratish vaqtidan (~60 soat) sezilarli darajada oshib ketdi. Tahlil asosida mualliflar deterministik dasturiy yadro va LLMdan aniq yo'naltirilgan maqsadlarda foydalanishni birlashtirgan gibrid arxitekturani taklif qilmoqdalar.

Adabiyotlar ro'yxati

  1. Bornmann, L., Haunschild, R., and Mutz, R. (2021). Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases. Humanities and Social Sciences Communications, 8(1), 224. https://doi.org/10.1057/s41599-021-00903-w

  2. Landhuis, E. (2016). Scientific literature: Information overload. Nature, 535(7612), 457–458. https://doi.org/10.1038/535457a

  3. Wu, Q., Bansal, G., Zhang, J., et al. (2024). AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation. Proceedings of the Conference on Language Modeling (COLM 2024).

  4. Richards, T. B. (2023). AutoGPT: An open-source autonomous AI agent. GitHub Repository. https://github.com/Significant-Gravitas/AutoGPT

  5. Xie, T., Zhou, F., Cheng, Z., et al. (2023). OpenAgents: An Open Platform for Language Agents in the Wild. arXiv preprint arXiv:2310.10634.

  6. Wang, X., Li, B., Song, Y., et al. (2024). OpenHands: An Open Platform for AI Software Developers as Generalist Agents. arXiv preprint arXiv:2407.16741.

  7. Hong, S., Zhuge, M., Chen, J., et al. (2023). MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework. arXiv preprint arXiv:2308.00352.

  8. Teece, D. J., Pisano, G., and Shuen, A. (1997). Dynamic Capabilities and Strategic Management. Strategic Management Journal, 18(7), 509–533.

  9. Brynjolfsson, E., Li, D., and Raymond, L. R. (2023). Generative AI at Work. Quarterly Journal of Economics, 138(4), 1875–1925. https://doi.org/10.1093/qje/qjad027

  10. Chen, Z., Chen, S., Ning, Y., et al. (2024). ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery. arXiv preprint arXiv:2410.05080.

Mualliflar haqida

Negmatov Ulug‘bek, Murodullaxon Jobirov, Gleb Mayorshin, Gleb Mayorshin, Madinabonu Orifjonova
Namangan davlat texnika universiteti

Litsenziya

Qanday iqtibos keltirish kerak

ILMIY ANALITIKANI AVTOMATLASHTIRISH: ILG’OR SUN’IY INTELLEKT YORDAMIDA YARATILGAN VA QO’LDA LOYIHALASHTIRILGAN MA’LUMOTLAR KONVEYERLARINI QIYOSIY TAHLILI. (2026). MMIT Proceedings, 447-450. https://doi.org/10.61587/

O'xshash maqolalar

Siz ham ushbu maqola uchun {$ advancedSearchLink} olishingiz mumkin.