bdi-mental-states

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This skill should be used when the user asks to "model agent mental states", "implement BDI architecture", "create belief-desire-intention models", "transform RDF to beliefs", "build cognitive agent", or mentions BDI ontology, mental state modeling, rational agency, or neuro-symbolic AI integration.

AI & Automation 39,350 stars 6386 forks Updated today MIT

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Skill Content

# BDI Mental State Modeling Transform external RDF context into agent mental states (beliefs, desires, intentions) using formal BDI ontology patterns. This skill enables agents to reason about context through cognitive architecture, supporting deliberative reasoning, explainability, and semantic interoperability within multi-agent systems. ## When to Use Activate this skill when: - Processing external RDF context into agent beliefs about world states - Modeling rational agency with perception, deliberation, and action cycles - Enabling explainability through traceable reasoning chains - Implementing BDI frameworks (SEMAS, JADE, JADEX) - Augmenting LLMs with formal cognitive structures (Logic Augmented Generation) - Coordinating mental states across multi-agent platforms - Tracking temporal evolution of beliefs, desires, and intentions - Linking motivational states to action plans ## Core Concepts ### Mental Reality Architecture **Mental States (Endurants)**: Persistent cognitive attributes - `Belief`: What the agent believes to be true about the world - `Desire`: What the agent wishes to bring about - `Intention`: What the agent commits to achieving **Mental Processes (Perdurants)**: Events that modify mental states - `BeliefProcess`: Forming/updating beliefs from perception - `DesireProcess`: Generating desires from beliefs - `IntentionProcess`: Committing to desires as actionable intentions ### Cognitive Chain Pattern ```turtle :Belief_store_open a bdi:Belief ; ...

Details

Author
sickn33
Repository
sickn33/antigravity-awesome-skills
Created
4 months ago
Last Updated
today
Language
Python
License
MIT

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