An economy of agents using auctions and wealth accumulation produces emergent multi-step reasoning that outperforms monolithic baselines on five agentic tasks.
arXiv preprint arXiv:2510.05077 , year=
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2026 3verdicts
UNVERDICTED 3representative citing papers
MOSAIC uses an Integer Linear Program scheduler for expert placement and prompt assignment plus adaptive aggregation to achieve 1.7-2.3x end-to-end speedup on 4-GPU MoA workloads while keeping accuracy within 0.1pp.
SEF-CLGC with SLMs trained on natural and symbolic languages achieves 27.80% content score while lowering content bias on SemEval-2026 Task 11 Subtask 1.
citing papers explorer
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Economy of Minds: Emerging Multi-Agent Intelligence with Economic Interactions
An economy of agents using auctions and wealth accumulation produces emergent multi-step reasoning that outperforms monolithic baselines on five agentic tasks.
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MOSAIC: Efficient Mixture-of-Agent Scheduling via Adaptive Aggregation and Inference Concurrency
MOSAIC uses an Integer Linear Program scheduler for expert placement and prompt assignment plus adaptive aggregation to achieve 1.7-2.3x end-to-end speedup on 4-GPU MoA workloads while keeping accuracy within 0.1pp.
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SEF-CLGC at SemEval-2026 Task 11: Logical Notation Impact on Language Model Performance
SEF-CLGC with SLMs trained on natural and symbolic languages achieves 27.80% content score while lowering content bias on SemEval-2026 Task 11 Subtask 1.