构建可互操作的信念-欲望-意图本体，让AI具备可解释的理性决策能力。
The Belief-Desire-Intention Ontology for modelling mental reality and agency
- 设计模块化本体模式，用形式化语言描述智能体的认知结构。
- 与大模型结合提升推理一致性，与语义平台打通数据与心智状态双向流动。
- 适合做可解释AI、多智能体系统与神经符号融合的研究者使用。
信念-欲望-意图（BDI）模型是人工智能与认知科学中表征理性智能体的核心框架，但其在结构化、语义互操作知识表示中的集成仍有限。本文提出一个形式化的BDI本体，作为模块化本体设计模式（ODP），通过信念、欲望、意图及其动态关系捕捉智能体的认知架构。该本体通过与基础本体对齐并遵循模块化设计最佳实践，确保语义精确性与可重用性。通过两项互补实验验证其适用性：(i) 将本体与大型语言模型（LLMs）结合，通过逻辑增强生成（LAG）评估本体化根基对推理连贯性与一致性的贡献；(ii) 在Semas推理平台中集成本体，实现RDF三元组与智能体心智状态之间的双向转换，该平台采用三元组→信念→三元组（T2B2T）范式。这两项实验共同表明，BDI本体在声明式智能与过程式智能之间充当概念与操作桥梁，为基于认知建模、可解释且语义互操作的多智能体系统与神经符号系统在万维数据中运行铺平道路。
原文摘要 · Abstract (English)
The Belief-Desire-Intention (BDI) model is a cornerstone for representing rational agency in artificial intelligence and cognitive sciences. Yet, its integration into structured, semantically interoperable knowledge representations remains limited. This paper presents a formal BDI Ontology, conceived as a modular Ontology Design Pattern (ODP) that captures the cognitive architecture of agents through beliefs, desires, intentions, and their dynamic interrelations. The ontology ensures semantic precision and reusability by aligning with foundational ontologies and best practices in modular design. Two complementary lines of experimentation demonstrate its applicability: (i) coupling the ontology with Large Language Models (LLMs) via Logic Augmented Generation (LAG) to assess the contribution of ontological grounding to inferential coherence and consistency; and (ii) integrating the ontology within the Semas reasoning platform, which implements the Triples-to-Beliefs-to-Triples (T2B2T) paradigm, enabling a bidirectional flow between RDF triples and agent mental states. Together, these experiments illustrate how the BDI Ontology acts as both a conceptual and operational bridge between declarative and procedural intelligence, paving the way for cognitively grounded, explainable, and semantically interoperable multi-agent and neuro-symbolic systems operating within the Web of Data.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。