Claims of emergence in AI should be grounded in information decomposition
3.00T1 sourcearXiv cs.MA
arXiv cs.MAoriginal source ↗
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2610.28479.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryA theoretical paper arguing that partial information decomposition can serve as a formal, falsifiable framework to evaluate claims of 'emergence' or 'synergy' in AI systems, applied to attention heads, multi-agent systems, and human-AI teams.
Why it mattersProposes a falsifiable criterion for emergence claims, organizing scattered intuitions across attention heads, agents, and human-AI collaboration under one formal lens.
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