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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데이터 과학 및 ML

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

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.

주요 기능

01RDF-to-Belief transformation via the T2B2T paradigm

02Goal-directed planning and task sequence mapping

03Explainable reasoning through traceable justification links

047,140 GitHub stars

05Formal BDI ontology patterns for mental state modeling

06Temporal tracking of mental state validity intervals

사용 사례

01Building rational agents for complex multi-agent systems (MAS)

02Augmenting LLMs with formal cognitive structures for Logic Augmented Generation

03Developing 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

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