כתבה
arXiv cs.LG ·
סוכן כלכלן AI
AI Economist Agent: An Agentic Framework for Evidence-Based Economic and Financial Analysis with RAG, Knowledge Graphs, and Large Language Models
סוכן כלכלן AI משלב מודלים גדולים של שפה וגרפים של ידע לניתוח כלכלי. הוא מיישם את המסגרת לניתוח מצבים כלכליים באירופה.
תקציר מקורי באנגליתarXiv:2606.20041v2 Announce Type: replace-cross Abstract: 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. Large language models (LLMs) can search and synthesize this information, but fluent narratives alone do not establish the model-based calculations needed for economic conclusions. Our framework uses LLM agents to plan the analysis, retrieve relevant evidence, and organize economic mechanisms, while registered quantitative models generate numerical outcomes and predefined tests determine whether intermediate results can be used in the fi
קרא במקור המקורי
arxiv.org
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