arXiv (All)
open access
When Does Communication Help? Beyond Spectral Descriptions of Collective Intelligence
Communication can bring agents into agreement while making their decisions worse. We identify two limits of aggregate descriptions of communication gain in distributed inference. First, stable linear systems with fixed evidence, network and readout can have interaction and finite-time state operator
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Collaboration enhances collective intelligence#276711
- Recovering Agentic Sovereignty: Mitigating the Consensus Paradox via Contrastive Epistemic Decoding#1061208
- Govern the Model, Not Only the Data: Storage, Circulation, and Learning in Creative AI#926683
- When Do Institutions Beat Intelligence?#974534
- Robust and Efficient Communication for Multi-Agent Learning#1109383
Record · ID 1049053
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive