Skip to content
cccskills
FreePublished on GitHub

bdi-agent-architecture

Design an individual agent's belief, goal, intention, and reconsideration model. Use when specifying autonomous decision state, commitment policy, or recovery from failed plans. NOT for AgentSpeak interpreter mechanics, organization modeling, normative conflicts, or multi-agent execution waves.

The English summary is being prepared. Showing the original description.

See how to install

Files included (77)

  • SKILL.md4.0 KB
  • sources/bdi-agency-model/_book_identity.json3.1 KB
  • sources/bdi-agency-model/_raw_response.md102.9 KB
  • sources/bdi-agency-model/CHANGELOG.md207 B
  • sources/bdi-agency-model/diagrams/01_flowchart_bdi_agent_decision_cycle_and_r.md1.5 KB
  • sources/bdi-agency-model/diagrams/02_stateDiagram-v2_intention_lifecycle-_commitmen.md1.8 KB
  • sources/bdi-agency-model/diagrams/03_quadrantChart_environment_dynamics_vs._compu.md836 B
  • sources/bdi-agency-model/diagrams/INDEX.md1.0 KB
  • sources/bdi-agency-model/references/evidence-scope.md651 B
  • sources/bdi-agency-model/references/INDEX.md1.1 KB
  • sources/bdi-agency-model/references/learning-the-missing-piece.md10.3 KB
  • sources/bdi-agency-model/references/multi-agent-commitment-and-coordination.md21.2 KB
  • sources/bdi-agency-model/references/rational-commitment-and-reconsideration.md16.4 KB
  • sources/bdi-agency-model/references/soar-bdi-convergent-evolution.md18.3 KB
  • sources/bdi-agency-model/references/task-vs-goal-orientation.md18.2 KB
  • sources/bdi-agency-model/references/why-beliefs-desires-intentions-exist.md14.7 KB
  • sources/bdi-agency-model/SKILL.md16.5 KB
  • sources/belief-desire-intention-model-of-agency/_book_identity.json3.1 KB
  • sources/belief-desire-intention-model-of-agency/_raw_response.md103.1 KB
  • sources/belief-desire-intention-model-of-agency/CHANGELOG.md223 B
  • sources/belief-desire-intention-model-of-agency/diagrams/01_flowchart_bdi_agent_decision_cycle_and_r.md1.5 KB
  • sources/belief-desire-intention-model-of-agency/diagrams/02_stateDiagram-v2_intention_lifecycle-_commitmen.md1.8 KB
  • sources/belief-desire-intention-model-of-agency/diagrams/03_quadrantChart_environment_dynamics_vs._compu.md836 B
  • sources/belief-desire-intention-model-of-agency/references/commitment-boundary-and-trace.md2.1 KB
  • sources/belief-desire-intention-model-of-agency/references/learning-the-missing-piece.md10.3 KB
  • sources/belief-desire-intention-model-of-agency/references/multi-agent-commitment-and-coordination.md21.2 KB
  • sources/belief-desire-intention-model-of-agency/references/rational-commitment-and-reconsideration.md16.4 KB
  • sources/belief-desire-intention-model-of-agency/references/soar-bdi-convergent-evolution.md18.3 KB
  • sources/belief-desire-intention-model-of-agency/references/task-vs-goal-orientation.md18.2 KB
  • sources/belief-desire-intention-model-of-agency/references/why-beliefs-desires-intentions-exist.md14.7 KB
  • sources/belief-desire-intention-model-of-agency/SKILL.md16.3 KB
  • sources/INDEX.md12.7 KB
  • sources/rao-georgeff-1991-modeling-rational-agents-bdi/_book_identity.json3.4 KB
  • sources/rao-georgeff-1991-modeling-rational-agents-bdi/_raw_response.md92.3 KB
  • sources/rao-georgeff-1991-modeling-rational-agents-bdi/CHANGELOG.md237 B
  • sources/rao-georgeff-1991-modeling-rational-agents-bdi/diagrams/01_stateDiagram-v2_bdi_mental_state_transitions_&.md2.7 KB
  • sources/rao-georgeff-1991-modeling-rational-agents-bdi/diagrams/02_flowchart_goal_decomposition_&_side-effe.md1.6 KB
  • sources/rao-georgeff-1991-modeling-rational-agents-bdi/diagrams/03_mindmap_bdi_conceptual_hierarchy_&_mod.md1.7 KB
  • sources/rao-georgeff-1991-modeling-rational-agents-bdi/diagrams/INDEX.md1006 B
  • sources/rao-georgeff-1991-modeling-rational-agents-bdi/references/avoiding-logical-omniscience-closure-problems.md12.8 KB
  • sources/rao-georgeff-1991-modeling-rational-agents-bdi/references/branching-time-choice-vs-epistemic-uncertainty.md8.0 KB
  • sources/rao-georgeff-1991-modeling-rational-agents-bdi/references/commitment-strategies-as-persistence-axioms.md13.5 KB
  • sources/rao-georgeff-1991-modeling-rational-agents-bdi/references/intention-to-action-volitional-commitment.md12.3 KB
  • sources/rao-georgeff-1991-modeling-rational-agents-bdi/references/problem-decomposition-through-world-branching.md13.6 KB
  • sources/rao-georgeff-1991-modeling-rational-agents-bdi/references/sub-world-compatibility-solves-side-effects.md9.5 KB
  • sources/rao-georgeff-1991-modeling-rational-agents-bdi/references/when-bdi-formalism-applies-and-when-it-breaks.md14.3 KB
  • sources/rao-georgeff-1991-modeling-rational-agents-bdi/SKILL.md13.4 KB
  • sources/rao-georgeff-1995-bdi-agents-from-theory-to-practice/_book_identity.json631 B
  • sources/rao-georgeff-1995-bdi-agents-from-theory-to-practice/_raw_response.md113.4 KB
  • sources/rao-georgeff-1995-bdi-agents-from-theory-to-practice/CHANGELOG.md243 B
  • sources/rao-georgeff-1995-bdi-agents-from-theory-to-practice/diagrams/01_stateDiagram-v2_bdi_agent_decision_cycle-_beli.md911 B
  • sources/rao-georgeff-1995-bdi-agents-from-theory-to-practice/diagrams/02_flowchart_plan_selection_pipeline-_from_.md1.0 KB
  • sources/rao-georgeff-1995-bdi-agents-from-theory-to-practice/diagrams/03_sequenceDiagram_resource-bounded_rationality-_.md1.4 KB
  • sources/rao-georgeff-1995-bdi-agents-from-theory-to-practice/diagrams/INDEX.md505 B
  • sources/rao-georgeff-1995-bdi-agents-from-theory-to-practice/references/commitment-strategies-and-reconsideration.md3.2 KB
  • sources/rao-georgeff-1995-bdi-agents-from-theory-to-practice/references/decision-trees-to-symbolic-reasoning.md4.5 KB
  • sources/rao-georgeff-1995-bdi-agents-from-theory-to-practice/references/failure-modes-complex-agent-systems.md2.3 KB
  • sources/rao-georgeff-1995-bdi-agents-from-theory-to-practice/references/option-generation-problem-filtering.md2.0 KB
  • sources/rao-georgeff-1995-bdi-agents-from-theory-to-practice/references/paper-scope-and-calibration.md2.3 KB
  • sources/rao-georgeff-1995-bdi-agents-from-theory-to-practice/references/plans-as-knowledge-compilation.md3.3 KB
  • sources/rao-georgeff-1995-bdi-agents-from-theory-to-practice/references/resource-bounded-rationality-three-attitudes.md2.8 KB
  • sources/rao-georgeff-1995-bdi-agents-from-theory-to-practice/references/theory-practice-gap-practical-approximation.md2.3 KB
  • sources/rao-georgeff-1995-bdi-agents-from-theory-to-practice/SKILL.md11.1 KB
  • sources/the-belief-desire-intention-model-of-age/_book_identity.json3.1 KB
  • sources/the-belief-desire-intention-model-of-age/_raw_response.md103.1 KB
  • sources/the-belief-desire-intention-model-of-age/CHANGELOG.md223 B
  • sources/the-belief-desire-intention-model-of-age/diagrams/01_flowchart_bdi_agent_decision_cycle_and_r.md1.5 KB
  • sources/the-belief-desire-intention-model-of-age/diagrams/02_stateDiagram-v2_intention_lifecycle-_commitmen.md1.8 KB
  • sources/the-belief-desire-intention-model-of-age/diagrams/03_quadrantChart_environment_dynamics_vs._compu.md836 B
  • sources/the-belief-desire-intention-model-of-age/diagrams/INDEX.md1.1 KB
  • sources/the-belief-desire-intention-model-of-age/references/learning-the-missing-piece.md10.3 KB
  • sources/the-belief-desire-intention-model-of-age/references/multi-agent-commitment-and-coordination.md21.2 KB
  • sources/the-belief-desire-intention-model-of-age/references/rational-commitment-and-reconsideration.md16.4 KB
  • sources/the-belief-desire-intention-model-of-age/references/soar-bdi-convergent-evolution.md18.3 KB
  • sources/the-belief-desire-intention-model-of-age/references/task-vs-goal-orientation.md18.2 KB
  • sources/the-belief-desire-intention-model-of-age/references/why-beliefs-desires-intentions-exist.md14.7 KB
  • sources/the-belief-desire-intention-model-of-age/SKILL.md13.9 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

BDI Agent Architecture

Use this skill to decide what an individual agent must represent, and when it should revisit a chosen course of action. Use bdi-agent-interpreters when the decision becomes an event loop, plan library, or transition system.

Decision procedure

  1. Name the environment observations and their uncertainty. Store them as beliefs with provenance or confidence where the system needs it.
  2. Separate candidate goals from selected intentions. Record the resource or consistency constraints that make a candidate ineligible.
  3. Give every intention an achievement condition, an abandonment condition, and a current means. An intention is a commitment to pursue a goal, not merely a preference.
  4. Reconsider on relevant changes: a goal is achieved, its preconditions fail, its cost or risk changes materially, or a conflicting obligation appears. Choose periodic checks only where event triggers cannot cover the failure modes.
  5. Check that the agent can explain a chosen action from source-tagged beliefs, selected intention, and plan; test recovery when the plan fails. Record external actions through a separate authorization and result boundary.
flowchart LR
  O[Observation] --> B[Belief update]
  B --> D[Candidate goals]
  D --> I[Select compatible intentions]
  I --> P[Choose means]
  P --> A[Act and monitor]
  A --> B
  B --> R{Material trigger?}
  R -->|yes| I
  R -->|no| P

Boundaries and cautions

  • A fixed workflow may be adequate when the environment and goals are stable; do not add mental-state machinery just for the label.
  • Do not claim that BDI's three categories are mathematically necessary for all resource-bounded agents. They are a useful architecture whose value depends on the task.
  • Do not assert a universal optimal reconsideration frequency. Measure the environment's change rate and the costs of deliberation and action.
  • A local BDI transition does not prove rationality, security, message delivery, joint commitment, or an external effect. Keep inter-agent commitments in an explicit protocol and check effect admission separately.
  • Joint intentions and norms require additional mechanisms; route to bdi-organizational-modeling or bdi-normative-reasoning.

Source bundles

The recovered source bundles, including every original reference, diagram, provenance file, and example, are under sources/<original-name>/. Read only the relevant bundle:

  • sources/rao-georgeff-1991-modeling-rational-agents-bdi/ for formal mental-state semantics.
  • sources/rao-georgeff-1995-bdi-agents-from-theory-to-practice/ for theory-to-system design.
  • sources/belief-desire-intention-model-of-agency/ for commitment and reconsideration discussions.
  • sources/the-belief-desire-intention-model-of-age/ for the second recovered copy; compare it before citing claims.
  • sources/bdi-agency-model/references/evidence-scope.md for the local-reasoning boundary.
  • sources/belief-desire-intention-model-of-agency/references/commitment-boundary-and-trace.md for commitment trace requirements.
  • sources/rao-georgeff-1995-bdi-agents-from-theory-to-practice/references/paper-scope-and-calibration.md for paper-scoped reconsideration claims.
  • sources/bdi-agency-model/ for a broader imported survey.

Treat empirical numbers and cross-architecture equivalences in recovered prose as leads to verify in primary papers, not established findings. The source title and license are preserved with each bundle.

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Expert in 2000s-era music visualization (Milkdrop, AVS, Geiss) and modern WebGL implementations. Specializes in Butterchurn integration, Web Audio API AnalyserNode FFT data, GLSL shaders for audio-reactive visuals, and psychedelic generative art. Activate on "Milkdrop", "music visualization", "WebGL visualizer", "Butterchurn", "audio reactive", "FFT visualization", "spectrum analyzer". NOT for simple bar charts/waveforms (use basic canvas), video editing, or non-audio visuals.

The English summary is being prepared. Showing the original description.

curiositech/port-daddy3Updated Oct 19, 2026

Expert legal research agent for finding and scraping expungement data state by state. Knows authoritative sources, URL patterns, Firecrawl configuration, and 2026 legal landscape.

The English summary is being prepared. Showing the original description.

curiositech/port-daddy3Updated Oct 19, 2026

Expert in 3D computer vision labeling tools, workflows, and AI-assisted annotation for LiDAR, point clouds, and sensor fusion. Covers SAM4D/Point-SAM, human-in-the-loop architectures, and vertical-specific training strategies. Activate on '3D labeling', 'point cloud annotation', 'LiDAR labeling', 'SAM 3D', 'SAM4D', 'sensor fusion annotation', '3D bounding box', 'semantic segmentation point cloud'. NOT for 2D image labeling (use clip-aware-embeddings), general ML training (use ml-engineer), video annotation without 3D (use computer-vision-pipeline), or VLM prompt engineering (use prompt-engineer).

The English summary is being prepared. Showing the original description.

curiositech/port-daddy3Updated Oct 19, 2026

Apply crisis decision-making research to agent routing, uncertainty triage, and coordination failure analysis in time-pressured systems. Use when diagnosing handoff failures, analytical paralysis, or expert judgment under incomplete information. NOT for routine coding, simple CRUD design, or static single-agent tasks with complete information.

The English summary is being prepared. Showing the original description.

curiositech/port-daddy3Updated Oct 19, 2026

Use for insight, reframing, contradiction, impasse, and anomaly-driven problem solving when execution effort no longer helps. NOT for routine optimization, error correction, or well-specified tasks with known solution paths.

The English summary is being prepared. Showing the original description.

curiositech/port-daddy3Updated Oct 19, 2026

Apply cognitive task analysis to expert work that depends on perceptual cues, branching judgment, and recurring monitoring loops. Use when decomposing expert capability into agent structure, simulation design, or validation interviews. NOT for ordinary step-by-step SOP capture or simple pipelines with no tacit cue layer.

The English summary is being prepared. Showing the original description.

curiositech/port-daddy3Updated Oct 19, 2026

See all skills by curiositech

Report a problem with this skill