AI RESEARCH
Market Regime Council for Dynamic Credit Assignment in Multi-Agent LLM Decision Systems
arXiv CS.AI
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ArXi:2605.24490v1 Announce Type: new Multi-agent LLM decision systems for portfolio management still lack a principled way to assign credit across specialist agents, remain vulnerable to cold-start dominance under regime shifts, and offer limited transparency into how final allocations are formed. We propose Market Regime Council (MRC), a cooperative multi-agent decision system that computes exact Shapley credits across all single, pairwise, and Grand-coalition outputs for online agent weighting.