arXiv (All)
open access
AI Economist Agent: An Agentic Framework for Evidence-Based Economic and Financial Analysis with RAG, Knowledge Graphs, and Large Language Models
We propose an AI economist agent for economic and financial scenario analysis. Scenario design often requires analysts to assess emerging risks with limited historical precedent, combine information from many sources, and translate qualitative mechanisms into internally consistent quantitative paths
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Evolving Idea Graphs with Learnable Edits-and-Commits for Multi-Agent Scientific Ideation#158574
- Growing an Agent/Prover Interface: Evolutionary Tool Design for Cost-Efficient Theorem Proving in Rocq and Lean#1144511
- Building evidence-based knowledge bases from full-text literature for disease-specific biomedical reasoning#973105
- ClaimReceipt: Verifying Evidence Sufficiency and Coverage in Agent Evaluations#632787
- Sustaining the Commons in the AI Economy: A Landscape Scan of Challenges and Strategies for Bridging AI Companies and Open Curated Collections#137316
Record · ID 998268
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive