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bdi-mental-states

Models agent beliefs, desires, and intentions using formal BDI ontology patterns.

1|Updated Feb 4, 2026
Search Tags:#ontology#agent#reasoning#cognitive architecture#bdi#mental states
One-click install
npx skills add https://github.com/bthillerup/bens-garage-session-2 --skill bdi-mental-states-bthillerup
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bdi-mental-states
Source: https://github.com/bthillerup/bens-garage-session-2/tree/main/.github/skills/bdi-mental-states
Command: npx skills add https://github.com/bthillerup/bens-garage-session-2 --skill bdi-mental-states-bthillerup

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill transforms external context into formal agent mental states (beliefs, desires, intentions), enabling rational agency and explainable reasoning.

Core Features & Use Cases

  • BDI Modeling: Implement Belief-Desire-Intention architectures for agents.
  • Mental State Transformation: Convert world perceptions into structured beliefs, desires, and intentions.
  • Explainability: Provide traceable reasoning chains for agent decisions.
  • Use Case: Model an autonomous agent's decision to navigate a room by first forming beliefs about obstacles, then desiring to reach a destination, and finally forming an intention to execute a specific path.

Quick Start

Model agent mental states using the BDI ontology for the provided context.

Frequently Asked Questions about bdi-mental-states

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I model agent mental states using the BDI architecture?▼

BDI modeling structures agent decisions by transforming world perceptions into formal beliefs, desires, and intentions, enabling rational agency and deliberative reasoning.

What is BDI in cognitive architecture and when do I need it?▼

BDI is a cognitive architecture pattern modeling rational agency through beliefs, desires, and intentions. You need it when building autonomous agents requiring deliberative reasoning and explainable decision-making.

How do I convert world perceptions into structured agent beliefs?▼

This Skill processes external context to transform world perceptions into formal agent beliefs, mapping environmental data into structured mental states that support reasoning and rational agency.

Can I use BDI ontology patterns to provide explainability for agent decisions?▼

Yes, the BDI ontology provides traceable reasoning chains for agent decisions. It models cognitive architecture to explain how beliefs and desires form intentions, ensuring transparent deliberative reasoning.

Does this BDI modeling approach work for autonomous navigation agents?▼

Yes, BDI modeling supports autonomous navigation agents by forming beliefs about obstacles, desiring to reach a destination, and forming intentions to execute a specific path through deliberative reasoning.

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