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Architecture
The engine is a small control system. Each tick: read a frozen snapshot of state, map incoming events to per-channel inputs, run one synchronous update of all states, clamp, then let a selector read the post-update state to choose a visible action. Because the update reads a frozen snapshot, equation order never affects the result — the run is bit-for-bit deterministic.
Every state (anger, stress, frustration, boredom, hunger, fatigue, resentment, …) is one generic
integrator: it accumulates its inputs and decays toward rest with a per-state half-life. A "persona"
is just a preset of parameters over this shared element — not a separate type. A missing coupling or
filter is neutral (0 / identity); wiring is sparse and lives in config.
Events become inputs through per-channel filters, not per-event:
- Relational channels filter per source (who did it) — an insult from a respected superior lands differently than from a stranger.
- Affinity filters per object (what/where).
- Physiological inputs (hunger, fatigue) take no filter.
An insult feeds anger directly (a dedicated edge); anger and stress form a coupled 2-cycle, so the lingering anger slowly pulls stress up afterward (stress is the slow accumulator, not an instant jump). With fixed edge gains this loop is linear and always stable — anger spikes and decays.
An optional, off-by-default overlay turns the linear loop into a stability safety-valve:
-
Escalation nonlinearity — each loop edge becomes
g·(1 + k_esc·other_state), so the local gain grows with the operating point. A single provocation stays stable; only an un-certifiable coincidence of unrelated pressures (insult and hunger and fatigue and a failed search) lifts the operating point past the stability bound → a spiral to the clamp ceiling = a burst. - Burst latch — an integrate-and-fire flip-flop sets only when anger and stress hold above thresholds for several ticks (a plateau, not a spike), with hysteresis on exit.
- Extinction — while latched, a slow term drags anger/stress toward zero and dominates the escalated coupling, so the burst self-terminates (bounded).
- Displaced discharge — while latched and very angry, the reactive gate opens to the tick's event source (you can lash out at whoever is in front of you), with a refractory edge that softens repeat hits from the same provoker. Sourceless events (weather) never open it — "you cannot kick the rain."
See docs/diagrams/burst_saturation.md for the control + functional diagrams.
The game tick is derived, not set directly:
dt (seconds per tick) = min(half_life) × time_scale ÷ nyquist_factor
decay = 2 ** (−dt / half_life) # recomputed at config load
Both knobs live in calibration/defaults.yaml under tick:. Base config: nyquist_factor: 10,
time_scale: 1.0, smallest half-life (anger) = 30 s → dt = 3 s.
The easy, behaviour-safe knob is time_scale. It multiplies every half-life, so dt scales with
it and the tick-by-tick trace stays bit-identical — only the seconds a tick represents change
(anger half-life 30 s → 20 min at time_scale: 40). This is how the believable-day eval reaches
~120 s/tick.
tick:
nyquist_factor: 10
time_scale: 40 # 1.0 = base (3 s/tick); 40 → 120 s/tickPick a target dt with time_scale = dt_target × nyquist_factor ÷ min(half_life) (= dt_target ÷ 3
in the base config): 1 s/tick → 0.333, 10 s/tick → 3.33, 120 s/tick → 40.
Set it per run without editing files (state is dimensionless [0,1], so you can even rebuild the
config at a new time_scale mid-run and keep ticking):
from pathlib import Path
from engine.yaml_io import load_persona
cfg = load_persona(
Path("data/personas/halgrim.yaml"),
Path("calibration/defaults.yaml"),
param_overrides={"tick": {"time_scale": 40}}, # → cfg.dt == 120.0
)A scenario can also carry its own tick.time_scale (read in engine/yaml_io).
What not to touch: don't retime via nyquist_factor (it changes numerical resolution, so the
trace is no longer identical, and below ~10 it risks instability), and don't hand-edit dt or
individual half-lives for pacing (that breaks the dt = min(half_life)/nyquist margin and the per-tick
input/decay balance). time_scale is the one knob that keeps everything consistent.
- Synchronous update from one frozen snapshot; clamps after every commit (
[0,1], signed[−1,1]). - Equations live in exactly one place. State mutates only in
update+ the selector's small post-effects. - Poles of the linearized loops inside the unit circle.
- Tick
dt = min(half-life)/10(engineering Nyquist). - No numeric literal in engine code — everything comes from config; defaults neutral.
An LLM is never in the loop and never mutates state. It wires in only at two seams — perception (text → events) and expression (events → text). Without an LLM there is a deterministic fallback. The believability judge is also an LLM, used only to evaluate runs blind, never to drive them.