Agent skill · research science · sickn33
bdi-mental-states
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.
Why this skill is useful
Adds executable patterns and cognitive architectures for BDI modeling that are not commonly found in public resources.
What it needs
About 5k tokens when loaded. Last updated 2026-08-07. 44,571 stars on the source repository.
What this skill does
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 World State Grounding Mental states reference structured configurations of the environment: Goal-Directed Planning Intentions specify plans that address goals through task sequences: T2B2T Paradigm Triples-to-Beliefs-to-Triples implements bidirectional flow between RDF knowledge graphs and internal mental states: Phase 1: Triples-to-Beliefs Phase 2: Beliefs-to-Triples Notation Selection by Level C4 Level Notation Mental State Representation ---------- ---------- ---------------------------- L1 Context ArchiMate Agent boundaries, external perception sources L2 Container ArchiMate BDI reasoning engine, belief store …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sickn33/bdi-mental-states--6352d2