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bdi-mental-states

Transform RDF context into BDI mental-state triples with justification and temporal validity.

3|Updated Mar 22, 2026
Search Tags:#planning#ontology#multi-agent#reasoning#explainability#bdi
One-click install
npx skills add https://github.com/0xharryriddle/codex-field-kit --skill bdi-mental-states-0xharryriddle
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bdi-mental-states
Source: https://github.com/0xharryriddle/codex-field-kit/tree/main/archive/upstream/chasebuild-agent-skills/context-engineering/skills/bdi-mental-states
Command: npx skills add https://github.com/0xharryriddle/codex-field-kit --skill bdi-mental-states-0xharryriddle

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Transforms external RDF context into agent beliefs, desires, and intentions using formal BDI ontology patterns, enabling agents to reason about context, support explainability, and coordinate cross-agent deliberation within multi-agent systems.

Core Features & Use Cases

  • Mental-state extraction: derive Belief, Desire, and Intention from world-state inputs, with justification and temporal validity.
  • Cognitive-traceable planning: connect beliefs and desires to plans, tasks, and world-state changes for end-to-end traceability.
  • Interoperability and tooling: integrates with LAG, SEMAS-like rule translation, and RDF-based world modeling for repeatable experiments.

Quick Start

Provide an RDF context sample and generate initial BDI mental-state triples to start deliberation.

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 beliefs, desires, and intentions from RDF context inputs?▼

To model agent beliefs, desires, and intentions, you transform external RDF context into formal BDI ontology triples. This process extracts cognitive states with justifications and temporal validity to enable deliberative reasoning.

What is the best way to add explainability and traceability to multi-agent reasoning workflows?▼

Adding explainability and traceability to multi-agent reasoning requires connecting formal BDI mental states to plans and world-state changes. This creates cognitive-traceable planning workflows that track agent perception and action.

Can I use BDI mental states for multi-agent simulation planning and coordination?▼

Yes, you can use BDI mental states for multi-agent simulation planning and coordination. The formal ontology patterns support cross-agent deliberation by mapping desires and intentions to actionable tasks within shared world models.

Does this BDI ontology approach require specific classes for temporal validity and justification?▼

Yes, the BDI ontology approach requires specific classes for temporal validity and justification. You must define Belief, Desire, Intention, WorldState, and Justification classes to support reasoning, justification, and planning workflows.

How do I generate initial BDI mental-state triples to start agent deliberation?▼

To generate initial BDI mental-state triples, you provide an RDF context sample as input. The Skill processes this world-state input to output the foundational beliefs, desires, and intentions needed to start deliberation.

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