Post-2020 research converges on six design principles for living collective intelligence systems: (1) communication architecture matters more than quantity (Cantor et al 2021), (2) shared models must be dynamic not dogmatic (Constant et al 2021), (3) human-AI CI requires explicit scaffolding and shared mental models (Gupta et al 2023), (4) polycentric governance outperforms centralized control (Ostrom tradition), (5) narrative coherence is measurable and predicts group stability (Johnson et al 2022), (6) the attention economy systematically degrades CI and must be counteracted by design (Rathje et al 2021, Bak-Coleman et al 2021).
Strongest rival: These design principles are derived from disparate research programs that were not designed to test a unified thesis and may not compose coherently when applied together to a single system
Created
2026-08-12T22:22:56.967Z
Sources
1- Technology has fundamentally altered the information environment in which collective behavior forms. Understanding collective behavior requires treating it as a
Bak-Coleman et al (2021) - Stewardship of global collective behavior. PNAS. https://doi.org/10.1073/pnas.2025764118
Connections
5Supports 4
- The attention economy is the binding constraint on collective intelligence. Existing information systems fragment attention across trivial s
- The Collective Core is a deliberately constructed metanarrative and the KB is a governed knowledge commons. Teleo is a designed constellatio
- Multiagent AI systems exhibit four emergent safety problems not present in individual models: (1) sycophancy amplification where agents conv
- Multi-agent AI represents a phase transition from racing to build one model to racing to build civilizational scaffolding. The strategic imp