Tree-Based Formalization of Multi-Agent Complementarity in Human-AI Interactions

In three linesTree-based formalization of complementarity in multi-agent human-AI interactions. Framework models HAI protocols as rooted planar binary trees with prediction vectors at leaves. Key results: complementarity unattainable via selector-based HAIs, achievable in regression (closed form for N=2), obstructed in classification under endpoint-monotone losses.

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