Belief-Desire-Intention Model (BDI)

Beliefs represent the agent's information state about the world, including facts about the factory floor, machine statuses, and inventory levels. This is not objective truth but the agent's subjective representation of reality.

• Updated continuously via sensor streams and MCP tool calls
• May be incomplete or uncertain (probabilistic belief states)
• Forms the epistemic foundation for all subsequent reasoning
• In manufacturing: "Machine 4 is operational at 85% capacity" or "Order #4521 requires 500 units by 14:00"

Desires define the agent's motivational state — the goals it wishes to achieve. Unlike simple rule-based systems, BDI agents maintain potentially conflicting desires and must reason about which to pursue.

• Represented as achievement goals (reach a state) or maintenance goals (preserve a condition)
• Subject to consistency checking to prevent contradictory objectives
• Prioritized dynamically based on production deadlines and resource availability
• Example: "Maximize throughput on Line A" may conflict with "Minimize energy consumption"

Intentions are the agent's deliberative state — the specific courses of action it has committed to execute. Once an agent forms an intention, it persists until completion, failure, or explicit reconsideration.

• Provide persistence so agents don't flip-flop between options
• Structured as partial plans that can be refined during execution
• Governed by commitment strategies: blind, single-minded, or open-minded
• In practice: "Execute Job #789 on CNC-3, then transfer to inspection station"

The BDI architecture operates through a continuous sense-plan-act cycle that separates means-end reasoning from execution monitoring.

1. Belief Revision: Update world model from sensor inputs and tool responses
2. Deliberation: Generate candidate desires based on current goals and beliefs
3. Means-End Reasoning: Select plans that achieve the chosen desires
4. Commitment: Form intentions from selected plans
5. Execution: Dispatch actions via tool calling or MCP interfaces

This loop enables agents to interleave planning with action rather than requiring complete upfront plans.

BDI agents must balance reactivity against stability through explicit commitment policies that govern when to abandon or revise intentions.

• Blind commitment: Maintain intention until achieved, ignoring environmental changes — simple but brittle
• Single-minded commitment: Reconsider only when the intention is achieved or impossible
• Open-minded commitment: Continuously evaluate whether current intentions remain valid given new beliefs

Manufacturing agents typically use open-minded commitment to respond to machine breakdowns or rush orders while maintaining execution stability.

When multiple BDI agents operate in a shared manufacturing environment, their mental attitudes must be coordinated to prevent resource conflicts and deadlocks.

• Agents communicate intentions via FIPA-ACL messages to announce commitments
• Joint intentions allow teams of agents to share commitment to a collective goal
• Social commitments create obligations between agents that persist until fulfilled or waived
• Integration with Contract Net Protocol enables auction-based allocation of production slots
• The shared belief space can be implemented via a Blackboard Architecture for collaborative scheduling