AINeutralarXiv – CS AI · 14h ago6/10
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Learning to Choose: An Empowerment-Guided Multi-Agent System with semantic communication for Adaptive Method Selection
Researchers introduce a multi-agent framework that combines contextual bandits with semantic checkpoints to prevent 'semantic drift' in automated scientific computing workflows. The system ensures that computational strategies selected by AI agents are faithfully executed and remain causally attributable throughout multi-agent pipelines, improving convergence and robustness in adaptive decision-making.