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New BDI Ontology Formalizes AI Agency and Cognitive Modeling

Researchers have developed a formal Belief-Desire-Intention (BDI) ontology to better represent rational agency in artificial intelligence and cognitive sciences. This ontology aims to bridge the gap between cognitive architectures and structured knowledge representations. Experiments show its utility when integrated with Large Language Models (LLMs) for enhanced inferential coherence and with reasoning platforms for bidirectional data flow between RDF triples and agent mental states. AI

IMPACT This ontology could enable more cognitively grounded and explainable AI systems, particularly in multi-agent and neuro-symbolic applications.

RANK_REASON The cluster contains a research paper detailing a new ontology for AI agency. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New BDI Ontology Formalizes AI Agency and Cognitive Modeling

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The cluster contains a research paper detailing a new ontology for AI agency. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Sara Zuppiroli, Carmelo Fabio Longo, Anna Sofia Lippolis, Rocco Paolillo, Lorenzo Giammei, Miguel Ceriani, Francesco Poggi, Antonio Zinilli, Andrea Giovanni Nuzzolese ·

    The Belief-Desire-Intention Ontology for modelling mental reality and agency

    arXiv:2511.17162v2 Announce Type: replace 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 representati…