one dataset · paper, tables, graph, wiki
simgrammar the grammar of simulation

thesis

Generalist game agents (SIMA, SIMA 2) follow language instructions across 3D games, and Voyager showed skill libraries of reusable code that grow over play. Automation games already reward teaching: Autonauts made programming bots by demonstration the core loop. A companion that learns skills from the player and stores them as inspectable, shareable routines turns automation from wiring to mentoring.

design sketch

The player demonstrates 'set up a smelting column' once while narrating; the companion abstracts it into a named skill with parameters, shows the generated plan, and reuses it elsewhere. Skills can be edited, combined, and shared. The companion asks clarifying questions when a skill fails.

validation experiment

In a voxel automation prototype, have players teach five routines by demonstration and narration; measure how often the learned skill succeeds in a new location and whether players report more or less enjoyment than blueprints. Success: 70 percent transfer success and preference over blueprints for at least half of players.

key risks

  • Agents that play the game for you can remove the core pleasure.
  • Skill abstraction from one demonstration often over- or under-generalizes.
  • Runtime cost of a capable agent on consumer hardware.

falsifiable prediction

by 2028-12-31

An automation or sandbox game will ship an in-game companion that learns reusable skills from player demonstration or instruction.

Feature first shipped after 2026-10-24 in a title with at least 1,000 Steam user reviews; store page or developer documentation describes companion skills learned from the player that persist and can be reused on new tasks.

open

relations

11 stored edges

provenance

runs in log/runs
2026-10-24
created2026-10-24-synthesissynthesis
2026-10-24
reviewed2026-10-24-review-fixesmaintenance