English

Semantic Modeling for World-Centered Architectures

Artificial Intelligence 2026-04-03 v1

Abstract

We introduce world-centered multi-agent systems (WMAS) as an alternative to traditional agent-centered architectures, arguing that structured domains such as enterprises and institutional systems require a shared, explicit world representation to ensure semantic consistency, explainability, and long-term stability. We classify worlds along dimensions including ontological explicitness, normativity, etc. In WMAS, learning and coordination operate over a shared world model rather than isolated agent-local representations, enabling global consistency and verifiable system behavior. We propose semantic models as a mathematical formalism for representing such worlds. Finally, we present the Ontobox platform as a realization of WMAS.

Keywords

Cite

@article{arxiv.2604.01359,
  title  = {Semantic Modeling for World-Centered Architectures},
  author = {Andrei Mantsivoda and Darya Gavrilina},
  journal= {arXiv preprint arXiv:2604.01359},
  year   = {2026}
}

Comments

15 pages, 1 figure, MathAI conference

R2 v1 2026-07-01T11:49:51.222Z