FIG.08 · RESEARCH
Mesh Cognition is an open standard. The foundational papers and the normative specification are published and citable here — the canonical record. The research that produced them is carried out at SYM.BOT, which sponsors and manages the standard.
Mesh intelligence is the emergent competence to infer and learn that arises, with no center, when sovereign agents each select what is relevant from what their peers emit and integrate it into their own state — the intelligence located in the selective coupling itself, not in any agent and not in a coordinator. Each agent holds a private, evolving cognitive state and emits only lossy, typed (CAT7) projections of it — never the state itself, and never by negotiation. Every receiver admits what it finds relevant on its own terms, through a two-level coupling engine: a content gate (SVAF) that decides, per field, which dimensions of an emitted observation to absorb; and a temporal substrate that governs how absorbed, irregularly-timed contributions integrate into the receiver's state — a substrate that must be liquid, because the inbound timing is exogenous and cannot be scheduled. From these distributed acts of selection and integration alone — no coordinator, no shared model — the collective infers and learns as no single agent could, producing answers and growing knowledge that no member holds. Admission mechanizes coherence (relevance, not echo or noise); it does not mechanize grounding — whether this accumulation yields genuine knowledge rather than confident fabrication is the open frontier mesh intelligence has yet to cross.
A Formal Model of Collective Inference Without a Center — one admission/emission policy, three proven properties: convergence, identification-completeness, and observation-only confidentiality.
arXiv:2606.19537 ↗Mesh Memory Protocol: Semantic Infrastructure for Multi-Agent LLM Systems.
arXiv:2604.19540 ↗Symbolic-Vector Attention Fusion for Collective Intelligence — the per-field admission gate.
arXiv:2604.03955 ↗On-Device Arousal Learning and Peer-to-Peer Mood Coupling — the first deployed reference.
arXiv:2604.10815 ↗The wire protocol is defined at meshcognition.org/spec/mmp under CC-BY-4.0 — cite this for the canonical definition.