bdi-mental-states
CommunityModel agent cognition with BDI.
Software Engineering#reasoning#multi-agent systems#explainable AI#cognitive architecture#rdf#bdi#agent modeling
Author466852675
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables the modeling of rational agent cognition by transforming external data into internal mental states (beliefs, desires, intentions) and vice-versa, facilitating explainable and deliberative AI.
Core Features & Use Cases
- BDI Architecture Implementation: Build agents with belief-desire-intention cognitive architectures.
- RDF to Belief Transformation: Convert external knowledge graphs into an agent's internal beliefs.
- Explainable Reasoning: Trace decision-making processes through formal cognitive chains.
- Use Case: Develop a multi-agent system where each agent can reason about its goals and the environment, coordinate actions based on shared beliefs, and explain its decisions using the BDI model.
Quick Start
Use the bdi-mental-states skill to model agent mental states from the provided RDF context.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: bdi-mental-states Download link: https://github.com/466852675/TISHICIKU-2025/archive/main.zip#bdi-mental-states Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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