Bdi Mental States

BDI Mental State Modeling

Transform external RDF context into agent mental states (beliefs, desires, intentions) using formal BDI ontology patterns.

Prerequisites

• Understanding of RDF/Turtle syntax
• Familiarity with ontology concepts

Instructions

Mental State Types

Endurants (Persistent):

• Belief: What the agent believes to be true
• Desire: What the agent wishes to bring about
• Intention: What the agent commits to achieving

Perdurants (Events):

• BeliefProcess: Forming/updating beliefs from perception
• DesireProcess: Generating desires from beliefs
• IntentionProcess: Committing to desires as intentions

Cognitive Chain Pattern

:Belief_store_open a bdi:Belief ;
    bdi:motivates :Desire_buy_groceries .

:Desire_buy_groceries a bdi:Desire ;
    bdi:isMotivatedBy :Belief_store_open .

:Intention_go_shopping a bdi:Intention ;
    bdi:fulfils :Desire_buy_groceries ;
    bdi:specifies :Plan_shopping .

T2B2T Paradigm

Triples-to-Beliefs-to-Triples implements bidirectional flow:

1. Triples-to-Beliefs: External RDF triggers belief formation
2. Beliefs-to-Triples: Mental deliberation produces new RDF output

Temporal Dimensions

Associate mental states with validity periods:

:Belief_B1 a bdi:Belief ;
    bdi:hasValidity :TimeInterval_TI1 .

:TimeInterval_TI1 a bdi:TimeInterval ;
    bdi:hasStartTime :TimeInstant_9am ;
    bdi:hasEndTime :TimeInstant_11am .

Guidelines

1. Model world states as configurations independent of agent perspectives
2. Distinguish endurants (states) from perdurants (processes)
3. Use bidirectional properties (motivates/isMotivatedBy)
4. Link mental entities to Justification instances for explainability
5. Define existential restrictions on mental processes

Notes

• Enables explainability through traceable reasoning chains
• Supports neuro-symbolic AI integration (Logic Augmented Generation)
• Compatible with SEMAS, JADE, JADEX frameworks

Source: muratcankoylan/Agent-Skills-for-Context-Engineering