Orkuncakilkaya
9ce69d23e3
Perception -> decision -> action AI that writes the SAME intent fields the player controllers read, so an enemy reuses the shooter's weapon/aim and a companion reuses the mover (friendly vs enemy = faction + goal, not code). Vision/Memory perception (throttled, faction + optional LOS), three decision models (FSM, utility, behaviour tree) writing one Brain intent with a cancellable DecisionMade hook, Reynolds flocking steering, and a Follower companion. Reuses ludic.gameplay Faction/Stats. Deterministic. 8-check example. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
1.4 KiB
bump: minor
type: feat
Builtin NPC AI (#61) — the source package ludic.npcai, a perception → decision → action stack that plugs into the other controllers instead of re-implementing movement. The AI never moves a body directly: it writes the SAME intent fields the player controllers read (want_x/want_y/want_fire, want_jump), so an enemy gunner reuses the shooter's weapon/projectile/auto-aim systems verbatim (set the body's TopDown.aim_mode = 3) and a companion reuses the mover — friendly vs enemy is faction + goal, not different code. Perception (Vision + Memory, throttled esys_perception with faction filtering and optional Grid line-of-sight) remembers the nearest hostile and emits TargetSpotted/TargetLost. Decision offers three models writing one Brain intent — a finite-state machine (patrol/chase/attack/flee), a utility scorer, and a canonical behaviour tree — each decision veto-able via cancellable DecisionMade. Steering adds Reynolds flocking (separate/cohere), and a Follower component gives companion stances. Reuses ludic.gameplay Faction (who is hostile) + Stats (hp for flee). Fully deterministic: perception + replan are frame-throttled and fixed-order. Example: examples/games/npcai_demo.ludic — one enemy perceives, chases and shoots a target through the shooter controller, flees at low hp under the utility model, and a companion follows its leader.