Agent AI for Finance : From Financial Argument Mining to Agent-Based Modeling / Chung-Chi Chen, Hiroya Takamura.
نوع المادة :
ملف الحاسوباللغة: الإنجليزية السلاسل:SpringerBriefs in Intelligent Systems Series | SpringerBriefs in Intelligent Systems Seriesالناشر:Cham : Springer, 2025تاريخ حقوق النشر: 2025الطبعات:1st edوصف:1 online resource (145 pages)نوع المحتوى:- text
- computer
- online resource
- 9783031946875
- Q334-342
| نوع المادة | المكتبة الحالية | رقم الطلب | رابط URL | حالة | تاريخ الإستحقاق | الباركود | حجوزات مادة | |
|---|---|---|---|---|---|---|---|---|
مصدر رقمي
|
UAE Federation Library | مكتبة اتحاد الإمارات Online Copy | نسخة إلكترونية | رابط إلى المورد | لا يعار |
SpringerBriefs in Intelligent Systems -- Agent AI for Finance -- Preface -- Acknowledgments -- Contents -- Introduction -- Financial Argument Mining -- Single-Agent/Model Design -- Multi-agent Interaction -- Multi-scale Model Synergy -- Generative AI Application Scenarios -- Looking to the Future.
This open access book explores the intersection of financial Natural Language Processing (NLP) and agent-based AI systems. It builds on prior work in financial argument mining and presents a conceptual blueprint for developing intelligent agents capable of multimodal understanding, decision-making, and interaction in financial contexts. Topics include single-agent design, multi-agent cooperation, model synergy, and generative AI applications. Aimed at students and researchers, the book offers foundational insights and future directions for AI in finance and beyond.
Description based on publisher supplied metadata and other sources.
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2025. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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