Invariant-Based Coordination Science (IBCS): A New Field for Zero-Communication Multi-Agent Convergence
Abstract
Volume VI — Zero-Communication Convergence. Introduces IBCS as a new scientific field for zero-communication multi-agent convergence. Invariant‑Based Coordination Science (IBCS) is introduced as a new scientific discipline studying how independent agents—human or machine—achieve stable, meaningful convergence without any form of communication. Existing coordination paradigms depend on message passing, negotiation, consensus protocols, or shared memory. IBCS formalizes an alternative mechanism: agents align through a shared invariant triad comprising identity, intent, and continuity, anchored by a stability attractor called the Serenpoint. The HiveSync Invariant Specification (v1.0) provides the first complete formalization of this mechanism, defining a reflexive function R(Sᵢ, C) that maps heterogeneous decision surfaces to a shared invariant. This paper establishes the theoretical foundations of IBCS, presents its research program, introduces a minimal reference simulation, and proposes an open‑source ecosystem for adoption. Related Papers Paper 5 — HiveSync Invariant Specification (Volume V) Paper 6.1 — Minimal Reference System (MRS) (Volume VI‑A)
Fields of Study & Subjects
Modular Robots and Swarm Intelligence
Distributed Control Multi-Agent Systems
Embodied and Extended Cognition
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 23 June 2026
- Language
- EN
- Document type
- Preprint