The Belief–Desire–Intention ontology for modelling mental reality and agency

IF 3.2 3区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Journal of Web Semantics Pub Date : 2026-08-01 Epub Date: 2026-07-21 DOI:10.1016/j.websem.2026.100885

Sara Zuppiroli, Carmelo Fabio Longo, Anna Sofia Lippolis, Rocco Paolillo, Lorenzo Giammei, Miguel Ceriani, Francesco Poggi, Antonio Zinilli, Andrea Giovanni Nuzzolese

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引用次数: 0

Abstract

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.

查看原文本刊更多论文

基于信念-欲望-意图本体论的心理现实与能动性模型

信念-欲望-意图（Belief-Desire-Intention， BDI）模型是人工智能和认知科学中表现理性主体的基础。然而，它与结构化的、语义上可互操作的知识表示的集成仍然有限。本文提出了一个正式的BDI本体，它被认为是一个模块化的本体设计模式（ODP），通过信念、欲望、意图和它们之间的动态相互关系来捕获代理的认知架构。本体通过与模块化设计中的基础本体和最佳实践保持一致，确保语义精确性和可重用性。两个互补的实验线证明了它的适用性：(i)通过逻辑增强生成（LAG）将本体与大型语言模型（LLMs）耦合，以评估本体基础对推理一致性和一致性的贡献；（ii）将本体集成到Semas推理平台中，该平台实现了triple -to- beliefs -to- triples （T2B2T）范式，实现了RDF三元组和智能体心理状态之间的双向流。总之，这些实验说明了BDI本体如何在声明性智能和程序性智能之间充当概念和操作的桥梁，为在数据网络中运行的认知基础、可解释和语义互操作的多智能体和神经符号系统铺平了道路。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Web Semantics 工程技术-计算机：人工智能

CiteScore

6.20

自引率

12.00%

发文量

审稿时长

14.6 weeks

期刊介绍： The Journal of Web Semantics is an interdisciplinary journal based on research and applications of various subject areas that contribute to the development of a knowledge-intensive and intelligent service Web. These areas include: knowledge technologies, ontology, agents, databases and the semantic grid, obviously disciplines like information retrieval, language technology, human-computer interaction and knowledge discovery are of major relevance as well. All aspects of the Semantic Web development are covered. The publication of large-scale experiments and their analysis is also encouraged to clearly illustrate scenarios and methods that introduce semantics into existing Web interfaces, contents and services. The journal emphasizes the publication of papers that combine theories, methods and experiments from different subject areas in order to deliver innovative semantic methods and applications.