提出以世界为中心的多智能体系统，实现全局语义一致与可解释性。
Semantic Modeling for World-Centered Architectures
- 用共享世界模型替代个体智能体的局部表示，统一语义框架。
- 通过形式化语义模型确保系统行为可验证、长期稳定。
- 适合企业级系统设计，提升跨智能体协作的透明度与可靠性。
我们提出世界为中心的多智能体系统（WMAS），作为传统以智能体为中心架构的替代方案，认为企业与制度等结构化领域需要一个共享且显式的世界表征，以保障语义一致性、可解释性与长期稳定性。我们从本体显式性、规范性等维度对世界进行分类。在WMAS中，学习与协调基于共享的世界模型展开，而非孤立的智能体本地表示，从而实现全局一致性与可验证的行为。我们提出语义模型作为此类世界的数学形式化表达。最后，我们介绍了Ontobox平台，作为WMAS的实际实现。
原文摘要 · Abstract (English)
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.
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