International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
•
Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Reviewer Referral Program
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with IJFMR
Upcoming Conference(s) ↓
WSMCDD-2025
GSMCDD-2025
Conferences Published ↓
RBS:RH-COVID-19 (2023)
ICMRS'23
PIPRDA-2023
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 6 Issue 6
November-December 2024
Indexing Partners
AI Driven Monetary Policy in the Era of Digital Currency
Author(s) | Arjun Kumar |
---|---|
Country | United Kingdom |
Abstract | The use of Artificial Intelligence in monetary policy of digital currencies is a very new area. Although Machine learning is at the heart of Artificial Intelligence, new aspects like Reinforcement Learning (RL) and Recurrent Neural Networks have been created to train AI on complex macroeconomic events and make monetary policy decisions. This is a review paper based on multiple literature survey |
Keywords | Artifical Intelligence, Monetary policy, Central bank digital currency |
Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
Published In | Volume 6, Issue 5, September-October 2024 |
Published On | 2024-09-27 |
Cite This | AI Driven Monetary Policy in the Era of Digital Currency - Arjun Kumar - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.27885 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i05.27885 |
Short DOI | https://doi.org/g59zv6 |
Share this
E-ISSN 2582-2160
doi
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.