This repository implements a unified pipeline integrating crossmodal data and decentralized agents (via LLMs) to perform causal analysis of financial decision-making dynamics. Using DoubleML and FCI with SHAP, it examines self-efficacy, anxiety, profit, and risk relationships.
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Unified Pipeline with Crossmodal Data and Decentralized Agents for Causal Analysis of Financial Decision-Making Dynamics
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Unified Pipeline with Crossmodal Data and Decentralized Agents for Causal Analysis of Financial Decision-Making Dynamics
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