Open access
2026
Adaptive Event-Driven Labeling: A Neuro-Symbolic Multiagent Framework for Causal Inference in Non-Stationary Time Series
This paper proposes Adaptive Event Driven Labeling (AEDL), a novel neurosymbolic framework that synthesizes unstructured semantic data with formal causal inference to disentangle simultaneous supply and demand shocks and introduces a Heterogeneous Multiagent Discussion (HAD) architecture.
Yiwen Liang, Yanan Jiao, Wenjie Ping et al.
· IEEE Access · 10 citations
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