Semantic Modeling for World-Centered Architectures
This addresses the need for verifiable and stable systems in enterprises and institutional settings, though it appears incremental as it builds on existing multi-agent concepts.
The paper tackles the problem of ensuring semantic consistency and explainability in multi-agent systems for structured domains by introducing world-centered architectures with shared world models, resulting in a proposed formalism and platform realization.
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.