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Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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YURIDIK FAOLIYATDA REINFORCEMENT LEARNING USULLARINING QOʻLLANILISHI

Authors: Sharabboyev Shaxruz Axmadjonovich; Javoxir Eshonqulov;

YURIDIK FAOLIYATDA REINFORCEMENT LEARNING USULLARINING QOʻLLANILISHI

Abstract

Qaror qabul qilishni takomillashtirish, muntazam vazifalarni avtomatlashtirish va huquqiy jarayonlarni optimallashtirish uchun huquqiy amaliyot sohasida mustahkamlovchi oʻrganish (RL) usullari tobora koʻproq qoʻllanilmoqda. RL texnikasidan foydalangan holda, yuridik mutaxassislar oʻz muhitidan oʻrganish, strategiyalarni sozlash va vaqt oʻtishi bilan ishlashni yaxshilashga qodir tizimlarni yaratishi mumkin. Yuridik kontekstlarda RL turli vazifalarga, jumladan, shartnoma tahlili, ishlarni bashorat qilish va huquqiy hujjatlarni tasniflash va boshqalar uchun qoʻllanilishi mumkin. RLning ketma-ket qaror qabul qilish jarayonlarini boshqarish qobiliyati uni, ayniqsa, harakatlar (hujjatlarni tayyorlash yoki yuridik maslahat berish kabi) keng qamrovli oqibatlarga olib kelishi mumkin boʻlgan huquqiy qarorlar qabul qilishda xos boʻlgan murakkabliklar va noaniqliklarni boshqarishda foydali boʻladi. Yuridik amaliyotda RL modellari ish natijalarini bashorat qilishda, eng yaxshi huquqiy strategiyalarni aniqlashda va hatto oʻtgan natijalar asosida shartnoma muzokaralarini optimallashtirishda yordam berishi mumkin. Uzluksiz fikr-mulohazalar orqali ushbu modellar vaqt oʻtishi bilan takomillashib, advokatlar va boshqa huquqshunoslar uchun maqbul harakatlarni taklif qilishda samaraliroq boʻladi. RL-ga asoslangan tizimlarning joriy etilishi huquqiy ish oqimlarini soddalashtirishi, inson xatolarini kamaytirishi va huquqiy tadqiqotlar, sud jarayonlari va muvofiqlikdagi uzoq vaqtdan beri davom etayotgan muammolarga innovatsion yechimlarni taqdim etishi kutilmoqda.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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