Preprint / scholarly article
Collective Phase Transitions beyond Individual Saturation
- Published
- DOI
- 10.5281/zenodo.17853555
Abstract
We work in a layered observation–semantic framework in which each agent has an individual observation space, a set of stable semantic phases, and a scalar value functional grounded in persistence and resource flows.
Keywords
- collective intelligence
- swarm intelligence
- multi-agents
- large language models
- phase transitions
- gibbs measures
- multi-agent systems
- intrinsic evaluation
- no-meta AI
- local hypothesis testing
- semantic phase transitions
- observation geometries