Dynamic Coalition Formation and Communication Pricing in Skill-Based Agentic AI Systems
A marginal-value activation rule and greedy router are proposed, a Shapley-submodularity sandwich bound linking the error of marginal-value routing to a per-agent diminishing-returns quantity is proved, and performance is robust to activation cost and redundancy weight but falls to under strong violations of submodularity or noisy value estimates.