What is the BDI architecture used in this skill?

BDI stands for Belief-Desire-Intention, a software model developed for programming intelligent agents that mimics rational human-like deliberation and goal-oriented behavior.

How does this skill enhance Large Language Models?

It implements Logic Augmented Generation (LAG), which constrains LLM outputs using formal ontological rules to ensure they align with the agent's internal mental states and world knowledge.

What is the T2B2T paradigm mentioned in the skill?

T2B2T stands for Triples-to-Beliefs-to-Triples. It facilitates a bidirectional flow where RDF knowledge graph triples are converted into agent beliefs, processed, and then projected back as updated knowledge.

Does this skill support explainability in AI?

Yes, it treats justifications as first-class entities, linking every belief and intention to specific evidence or world states to provide a clear, traceable reasoning chain.

BDI Mental State Modeling

Name: BDI Mental State Modeling
Author: muratcankoylan

bymuratcankoylan

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7,140

Data Science & ML

Models autonomous agent behaviors using Belief-Desire-Intention (BDI) architecture and formal cognitive ontologies.

About

This skill enables developers to implement sophisticated cognitive architectures by transforming external RDF context into structured agent mental states, including beliefs, desires, and intentions. By utilizing the BDI ontology, it facilitates the creation of rational, explainable AI agents capable of deliberative reasoning and semantic interoperability. It is particularly useful for building multi-agent systems, integrating neuro-symbolic AI through Logic Augmented Generation (LAG), and ensuring traceable reasoning chains in complex production environments.

Key Features

RDF-to-Belief transformation via the T2B2T paradigm
Goal-directed planning and task sequence mapping
Explainable reasoning through traceable justification links
7,140 GitHub stars
Formal BDI ontology patterns for mental state modeling
Temporal tracking of mental state validity intervals

Use Cases

Building rational agents for complex multi-agent systems (MAS)
Augmenting LLMs with formal cognitive structures for Logic Augmented Generation
Developing explainable AI systems with traceable deliberation paths

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add muratcankoylan/agent-skills-for-context-engineering bdi-mental-states

For use in Claude.ai and ChatGPT

Download Skill

GitHub