Semantic Modeling for World-Centered Architectures

Andrei Mantsivoda, Daria Gavrilina

Keywords: semantic model, world-centered architecture, rule-based domain, multi-agent system

TL;DR: We present world-centered multi-agent AI architectures operating over explicitly structured, normative worlds like enterprises, and we apply semantic modeling as the mathematical and practical foundation for such architectures.

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.

Submission Number: 139