RDAC: Relational Density, Diversity, Stability, and Closure
Abstract
This paper presents the RDAC model — a theoretical and experimental framework for understanding phase-transition-like performance jumps in multi-agent systems through four structural factors: Relational Density (D), Diversity (V), Stability (S), and Closure (C). Experimental results reveal a hierarchical causal structure: C as necessary condition, D as complexity-dependent amplifier, V as functional differentiator, and S as convergence maintainer. A supplementary V=0 experiment further revealed that D and V are orthogonal dimensions.
Fields of Study & Subjects
Neural Networks and Applications
Multi-Agent Systems and Negotiation
Opinion Dynamics and Social Influence
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 1 March 2026
- Language
- EN
- Document type
- Preprint