Pac-Man

A self-playing arcade game — ghosts chase a flood-filled distance field.

Async Tick Spatial FSM

Try it live→ Download Database

SC-003 / SCHEMATICGame AI

Clock 60 Hz tick

Update Asynchronous

Step order Fixed (load-bearing)

Ghosts 4 personalities

Topology Spatial maze

OVERVIEW

Pac-Man modelled end-to-end: a maze of cells, a singleton game-state, four ghosts and Pac-Man himself. On each turn Pac-Man emits a wave message that propagates through the maze as a breadth-first distance field; the ghosts read that gradient to chase, each biased by its personality. Power pellets flip the game into frightened mode, and the game-state machine watches the pellet count and lives to call the win or loss.

A showcase of message-driven computation: a whole shortest-path field is built by cascading messages between cells within a single turn, with a load-bearing fixed step order (ghosts, then cells, then game-state, then Pac-Man) that keeps the chase deterministic. Good for testing pursuit, planning and adversarial reasoning against reproducible game traces.

LIVE DATA

A live sample of the dataset this scenario generates.

Game replay — pellets, ghosts and frightened windows FULLSCREEN ⤢

TRAITS

Async

Independent, event-driven timelines

Tick

Discrete fixed-step time

Spatial

Entities have position & topology

FSM

Entities are finite-state machines

SCHEMA

Linked tables with guaranteed referential integrity.

TABLECOLUMNSDESCRIPTION

pacman ID, home_tag, pellets_eaten, current_cell_id, game_id, current_state The player: pellets eaten, its current cell and game references.

ghost ID, personality, home_tag, current_cell_id, game_id, pacman_id, current_state Four ghosts: personality (Blinky/Pinky/Inky/Clyde), current cell and chase target.

mazecell ID, kind, home_tag, has_pellet, has_power, pac_grad, ghost_count, pacman_here, north_id, south_id, east_id, west_id, current_state One row per maze cell: pellet/power flags, the BFS distance value and four wall-aware neighbour references.

gamestate ID, score, lives, pellets_remaining, frightened_timer, running, current_state Singleton game state: score, lives, pellets left and the frightened-mode timer.

LIVE API

Generated REST endpoints. Also exposed as MCP tools.

POST /scenarios/pacman/experiments Seed a new game

POST /scenarios/pacman/experiments/{eid}/run Advance the game N turns

GET /scenarios/pacman/experiments/{eid}/entities/ghost Read ghost positions and modes

GET /scenarios/pacman/experiments/{eid}/events Append-only event log

GET /scenarios/pacman/experiments/{eid}/dataset Download the exported dataset

SEMANTIC LAYER

OSI-compatible definition, emitted with the dataset.

# pacman.osi.yaml — emitted automatically
semantic_model:
  name: "pacman"
  source: "duckdb://pacman.db"
  entities:
    - name: pacman
      primary_key: id
  dimensions:
    - name: state
      type: categorical
    - name: t
      type: time
  measures:
    - name: row_count
      agg: count
    - name: active
      agg: sum
      filter: "state = 'ACTIVE'"