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

episodes

12 · 86 min in all
Episode 1: Every simulation game is made of the same parts, a frame from the episode5:26
rendered 2026-10-26 · episode-01.mp4 · drawn from the dataset

episode 1 5:26 chapters 1 and 2

Every simulation game is made of the same parts

RimWorld taken apart into its mechanics, then every game in the catalog the same way. The most common parts simulate nothing, the parts a game can't do without are much rarer, and each genre spends its parts differently.

Mood and breakdownsStoryteller directorNeeds decayAdaptive threat scalingInjury body modelProduction chainsZoningBuilding placement
Episode 2: Where the parts came from, a frame from the episode8:04
rendered 2026-10-26 · episode-02.mp4 · drawn from the dataset

episode 2 8:04 chapter 3

Where the parts came from

Hamurabi, from 1968, already used parts that games still use. Most of the vocabulary was in a catalog game by 2000, a test against chance shows how much of that comes from parts being widely shared, and recent games are built mostly from old parts.

Dynasty successionCrop cultivationTech treeCulture and religion conversionBuilding placementPause and speed controlPollution spreadConveyor transport
Episode 3: Families across genres, a frame from the episode7:46
rendered 2026-10-26 · episode-03.mp4 · drawn from the dataset

episode 3 7:46 chapter 4

Families across genres

Group games by their mechanics instead of their genre and families appear: series that stay together, a sequel that moved, and odd couples like Papers, Please and Princess Maker 2. How the families are drawn, how far they match genre, and where they fall apart.

Building placementPause and speed controlGoods consumptionResource extractionProduction chainsNeeds decayTech treeTrade routes
Episode 4: Why deep systems are hard to read, a frame from the episode7:03
rendered 2026-10-26 · episode-04.mp4 · drawn from the dataset

episode 4 7:03 chapter 5

Why deep systems are hard to read

A flooded fortress in Dwarf Fortress shows a chain of causes the player never sees. Mechanics that produce more variety are rated harder to read and harder to balance, and designers answered with mechanics that simulate nothing and only show what the others hold.

Stress accumulationMemories and thoughtsMood and breakdownsPause and speed controlAdaptive threat scalingSimulated history generationFluid and gas simulationHistory chronicle
Episode 5: The five ceilings, a frame from the episode7:29
rendered 2026-10-26 · episode-05.mp4 · drawn from the dataset

episode 5 7:29 chapter 6

The five ceilings

Five limits on simulation games: content made by hand, ticks per second, what a player can follow, the same inputs giving the same world, and believable minds. Lifting one usually spends another, and the cost of authoring is falling fastest.

Crop cultivationDilemma cardsSmart objectsMemories and thoughts
Episode 6: What AI shipped, a frame from the episode8:07
rendered 2026-10-26 · episode-06.mp4 · drawn from the dataset

episode 6 8:07 chapter 7

What AI shipped

Which AI techniques have shipped in simulation games, and how far. Neural rendering is the one that is normal; talking characters, opponents, and tools players never see have shipped in fewer games, and the few that change a game's state can break its replays.

LLM game master and narrative directorOn-device small language models for charactersRealtime speech-to-speech and expressive TTS for charactersNeural rendering in the graphics pipelineDeep reinforcement learning policies for NPC opponents and navigationMonte Carlo tree search for game AIWave Function Collapse and constraint-based tile generationAgent-based automated playtesting and balancing
Episode 7: Where AI lands, a frame from the episode7:31
rendered 2026-10-26 · episode-07.mp4 · drawn from the dataset

episode 7 7:31 chapter 8

Where AI lands

Infinite Craft stores a language model's answer and treats it as a rule. Counting every technique against every mechanic shows research aimed at generative content, while the economic core most games are built from has almost nothing aimed at it.

LLM game master and narrative directorUtility action selectionMonte Carlo tree search for game AIDeep reinforcement learning policies for NPC opponents and navigationGenie foundation world modelsOn-device small language models for charactersProduction chainsGenerative content on demand
Episode 8: Vacant lots, a frame from the episode7:33
rendered 2026-10-26 · episode-08.mp4 · drawn from the dataset

episode 8 7:33 chapter 9

Vacant lots

Pairs of common mechanics that almost never share a game, like a city builder that tells stories or a production game whose workers grow old. A few lots are already built by a single game, and some may stay empty for good reason.

Land valueTraffic congestionProduction chainsBuilding placementAttribute-driven match engineBoard confidenceCulture and religion conversionNeeds decay
Episode 9: Bets worth making, a frame from the episode7:11
rendered 2026-10-26 · episode-09.mp4 · drawn from the dataset

episode 9 7:11 chapter 10

Bets worth making

The dataset's bets on what to build next, each with an experiment and a dated prediction: a button that asks why, a preview of possible futures, colonists with a memory, mods written as a sentence. None of the leading bets asks a model to become the simulation.

LLM game master and narrative directorConveyor transportMood and breakdownsProduction chainsModding API
Episode 10: What breaks, a frame from the episode6:43
rendered 2026-10-26 · episode-10.mp4 · drawn from the dataset

episode 10 6:43 chapter 11

What breaks

How AI features break simulation games: desyncs when a search stops by the clock, contradictions, models that replace rules players could read, the running cost of model calls, and trust. A log that records the model's decisions keeps such a game replayable.

Wave Function Collapse and constraint-based tile generationGenie foundation world modelsMonte Carlo tree search for game AINeural rendering in the graphics pipelineCausal breakdown tooltipsConveyor transportLLM game master and narrative directorGrammar-constrained decoding for valid game actions
Episode 11: Keeping score, a frame from the episode6:48
rendered 2026-10-26 · episode-11.mp4 · drawn from the dataset

episode 11 6:48 chapter 12

Keeping score

How the dataset's predictions are written so they can lose, when they come due, and who is allowed to check them. Once results arrive, the scoreboard also tests whether the rankings behind the bets meant anything.

LLM game master and narrative director
Episode 12: How this was made, a frame from the episode6:42
rendered 2026-10-26 · episode-12.mp4 · drawn from the dataset

episode 12 6:42 chapter 13

How this was made

How the dataset behind the series is built and checked: plain-text records, everything rebuilt on every change, rules that came from failures, a record of every run, and what the checks can't see. It ends on how anyone can extend it.

Building placement
plain-text twin · 12 episodes
episode 1

Every simulation game is made of the same parts

RimWorld taken apart into its mechanics, then every game in the catalog the same way. The most common parts simulate nothing, the parts a game can't do without are much rarer, and each genre spends its parts differently.

5:26 · 9 scenes · follows chapter 1, Same parts and chapter 2, Six layers

episode 2

Where the parts came from

Hamurabi, from 1968, already used parts that games still use. Most of the vocabulary was in a catalog game by 2000, a test against chance shows how much of that comes from parts being widely shared, and recent games are built mostly from old parts.

8:04 · 10 scenes · follows chapter 3, Old parts

episode 3

Families across genres

Group games by their mechanics instead of their genre and families appear: series that stay together, a sequel that moved, and odd couples like Papers, Please and Princess Maker 2. How the families are drawn, how far they match genre, and where they fall apart.

7:46 · 10 scenes · follows chapter 4, Families

episode 4

Why deep systems are hard to read

A flooded fortress in Dwarf Fortress shows a chain of causes the player never sees. Mechanics that produce more variety are rated harder to read and harder to balance, and designers answered with mechanics that simulate nothing and only show what the others hold.

7:03 · 10 scenes · follows chapter 5, Depth costs legibility

episode 5

The five ceilings

Five limits on simulation games: content made by hand, ticks per second, what a player can follow, the same inputs giving the same world, and believable minds. Lifting one usually spends another, and the cost of authoring is falling fastest.

7:29 · 9 scenes · follows chapter 6, Five ceilings

episode 6

What AI shipped

Which AI techniques have shipped in simulation games, and how far. Neural rendering is the one that is normal; talking characters, opponents, and tools players never see have shipped in fewer games, and the few that change a game's state can break its replays.

8:07 · 12 scenes · follows chapter 7, What shipped

episode 7

Where AI lands

Infinite Craft stores a language model's answer and treats it as a rule. Counting every technique against every mechanic shows research aimed at generative content, while the economic core most games are built from has almost nothing aimed at it.

7:31 · 11 scenes · follows chapter 8, Where AI lands

episode 8

Vacant lots

Pairs of common mechanics that almost never share a game, like a city builder that tells stories or a production game whose workers grow old. A few lots are already built by a single game, and some may stay empty for good reason.

7:33 · 11 scenes · follows chapter 9, Vacant lots

episode 9

Bets worth making

The dataset's bets on what to build next, each with an experiment and a dated prediction: a button that asks why, a preview of possible futures, colonists with a memory, mods written as a sentence. None of the leading bets asks a model to become the simulation.

7:11 · 11 scenes · follows chapter 10, Bets

episode 10

What breaks

How AI features break simulation games: desyncs when a search stops by the clock, contradictions, models that replace rules players could read, the running cost of model calls, and trust. A log that records the model's decisions keeps such a game replayable.

6:43 · 10 scenes · follows chapter 11, What breaks

episode 11

Keeping score

How the dataset's predictions are written so they can lose, when they come due, and who is allowed to check them. Once results arrive, the scoreboard also tests whether the rankings behind the bets meant anything.

6:48 · 10 scenes · follows chapter 12, Keeping score

episode 12

How this was made

How the dataset behind the series is built and checked: plain-text records, everything rebuilt on every change, rules that came from failures, a record of every run, and what the checks can't see. It ends on how anyone can extend it.

6:42 · 8 scenes · follows chapter 13, How the book checks itself

shorts

12 · under a minute each
Short 1: The five most common parts, opening frameplay · 0:38
rendered · short-01.mp4 · drawn from the dataset

short 1 0:38 from chapter 1 · episode 1

The five most common parts

The five parts that turn up most often in simulation games don't simulate anything.

Short 2: Every part of Stardew Valley is older than it, opening frameplay · 0:40
rendered · short-02.mp4 · drawn from the dataset

short 2 0:40 from chapter 3 · episode 2

Every part of Stardew Valley is older than it

Every part of Stardew Valley appears in an earlier game in our catalog.

Short 3: A border post and a daughter, opening frameplay · 0:36
rendered · short-03.mp4 · drawn from the dataset

short 3 0:36 from chapter 4 · episode 3

A border post and a daughter

A border-checkpoint game from 2013 and a daughter-raising game from 1993 belong to the same family.

Short 4: Decorating makes the raids bigger, opening frameplay · 0:36
rendered · short-04.mp4 · drawn from the dataset

short 4 0:36 from chapter 5 · episode 4

Decorating makes the raids bigger

In RimWorld, decorating your colony makes the raids bigger.

Short 5: The refrigerator knows, opening frameplay · 0:36
rendered · short-05.mp4 · drawn from the dataset

short 5 0:36 from chapter 6 · episode 5

The refrigerator knows

In The Sims, the knowledge of how to eat is stored in the refrigerator.

Short 6: The one AI technique that's normal, opening frameplay · 0:40
rendered · short-06.mp4 · drawn from the dataset

short 6 0:40 from chapter 7 · episode 6

The one AI technique that's normal

Of the AI techniques in our dataset, exactly one has become normal in games, and it never touches the simulation.

Short 7: Most used, barely touched, opening frameplay · 0:36
rendered · short-07.mp4 · drawn from the dataset

short 7 0:36 from chapter 8 · episode 7

Most used, barely touched

The kind of mechanic simulation games use most is among the kinds AI research has touched least.

Short 8: City builders don't tell stories, opening frameplay · 0:38
rendered · short-08.mp4 · drawn from the dataset

short 8 0:38 from chapter 9 · episode 8

City builders don't tell stories

Only one game in our catalog lets you place buildings and also runs chains of story events: 77 games do the first, 17 the second.

Short 9: The why button, opening frameplay · 0:39
rendered · short-09.mp4 · drawn from the dataset

short 9 0:39 from chapter 10 · episode 9

The why button

The AI feature our dataset ranks highest for simulation games is a button that asks why.

Short 10: The faster computer, opening frameplay · 0:35
rendered · short-10.mp4 · drawn from the dataset

short 10 0:35 from chapter 11 · episode 10

The faster computer

A faster computer can break a multiplayer game when the AI opponent thinks by the clock.

Short 11: Due on the same day, opening frameplay · 0:35
rendered · short-11.mp4 · drawn from the dataset

short 11 0:35 from chapter 12 · episode 11

Due on the same day

9 predictions about AI in simulation games come due on the same day, December 31, 2027.

Short 12: The parts the agents skipped, opening frameplay · 0:33
rendered · short-12.mp4 · drawn from the dataset

short 12 0:33 from chapter 13 · episode 12

The parts the agents skipped

The most common parts of simulation games almost went uncounted in our dataset.

plain-text twin · 12 transcripts
short 1

The five most common parts

The five parts that turn up most often in simulation games don't simulate anything.

We broke 179 of them into their parts. First is the pause button, in 46 percent of them. Then placing buildings where you like, support for mods, a tech tree, and scenario goals.

Production chains come sixth, and they're the first part on the list that models something in the world: ore into plates, plates into gears.

The parts a game is known for are rare. RimWorld's storyteller, its mood breaks and its body-part injuries each show up in fewer than ten catalog games.

short 2

Every part of Stardew Valley is older than it

Every part of Stardew Valley appears in an earlier game in our catalog.

Crops first appear in Hamurabi, a text game from 1968. A daily action budget first appears in Princess Maker 2, in 1993. Seasons and friendships with villagers first appear in Harvest Moon, in 1996, the game Stardew was built in response to.

That is the norm. Games released since 2010 draw 84 percent of their mechanics from parts that already existed by 2000.

Stardew sets its own numbers: 250 friendship points a heart, and two lost on each day you don't talk to someone.

short 3

A border post and a daughter

A border-checkpoint game from 2013 and a daughter-raising game from 1993 belong to the same family.

We grouped 179 simulation games by the parts they're built from, then redid the grouping on 1000 random subsets of the catalog. These two land together almost every time.

Both give you time in fixed slots: a shift at the border, three slots a month for your daughter. Both keep money tight. Both keep sending authored events at you.

Princess Maker 2 is filed as a life sim, and it lands far from The Sims.

short 4

Decorating makes the raids bigger

In RimWorld, decorating your colony makes the raids bigger.

Before every raid the game adds up your colony's wealth and your colonists and turns the total into a budget for the attackers. Wealth starts adding to that budget above 14,000 and keeps adding up to a million [1].

So experienced players keep their colonies plain. They skip the statues and the fine furniture so the raids stay small.

None of it is on screen. The formula lives on the community wiki, and the dataset scores the mechanic 2 out of 5 for legibility, the level where players understand it only through wikis.

short 5

The refrigerator knows

In The Sims, the knowledge of how to eat is stored in the refrigerator.

Every object advertises what it offers. The refrigerator advertises Hunger, the bed Energy. A Sim weighs the offers in reach against what it needs and picks one, and the object brings the script and the animation [1].

Expansions taught Sims new things largely by selling them new objects.

It also meant every behavior was made by hand. The base game shipped with more than 150 objects, and the dataset scores the method 4 out of 5 for authoring cost.

short 6

The one AI technique that's normal

Of the AI techniques in our dataset, exactly one has become normal in games, and it never touches the simulation.

It's neural rendering: upscaling, and frames predicted between the ones the game drew. More than 250 titles support multi-frame generation, and Flight Simulator has frame generation too [1] [2].

A generated frame sits between two real ones, and the simulation never knows. Saves, replays, and multiplayer stay exactly as they were.

The models that would replace the game world itself are still prototypes. Google's Project Genie, built on Genie 3, caps each world at sixty seconds to save compute [3].

short 7

Most used, barely touched

The kind of mechanic simulation games use most is among the kinds AI research has touched least.

Resources and production is the most used family in our catalog. Of its 14 mechanics, 12 have no AI technique pointed at them, production chains included.

A furnace starves far upstream, and the player blames the building in front of them. The record for production chains lists that as a known failure in games without flow statistics.

Instead the techniques pile up on stories and characters. Narrative and generation is the most exposed family in the set.

short 8

City builders don't tell stories

Only one game in our catalog lets you place buildings and also runs chains of story events: 77 games do the first, 17 the second.

In Cities: Skylines, a district built all at once grows old all at once. Decades later its residents die in a wave, and the hearses back up. The game treats it as a services problem. Nothing tells you a story about any of them.

The exception is Surviving Mars, which lays authored mysteries like plagues and AI revolts over a colony you lay out yourself. Even there, the mysteries are layered on top of the colony.

short 9

The why button

The AI feature our dataset ranks highest for simulation games is a button that asks why.

We scored 42 bets on impact, feasibility, and novelty, and this one came first. Right-click the hospital that closed three months ago, ask why, and get a few sentences, each linked to an event in the game's own log. The model can only say what it can point to. If it can't ground an answer, it says so.

The bet has a deadline. If no game with at least ten thousand Steam reviews ships it by December 31, 2027, answering free-text questions from the player's own save, it loses.

short 10

The faster computer

A faster computer can break a multiplayer game when the AI opponent thinks by the clock.

In lockstep multiplayer, both machines run the same world and send each other only orders. Give the opponent a fixed slice of time to think, and the faster machine thinks further and picks a different move. The two worlds split, and the match ends.

Of the AI techniques in our dataset that can run during play, 10 break reproducibility outright. For this opponent, the fix is one rule: count the playouts instead of the milliseconds, and seed the random numbers.

short 11

Due on the same day

9 predictions about AI in simulation games come due on the same day, December 31, 2027.

Every bet in our dataset carries one, written so a stranger could check it. Take the first: a widely played game lets you ask why something happened in your own save. It only counts if it shipped after October 24, 2026, in a game with ten thousand Steam reviews, answering from your save and not from a manual.

And the person who checks can't be the one who made the bet, or the same AI model that wrote it.

short 12

The parts the agents skipped

The most common parts of simulation games almost went uncounted in our dataset.

The first catalog was built by AI agents working in parallel. Each one recorded the parts that made a game distinctive and skipped the obvious ones: the pause button, placing buildings, tech trees. An outside review caught it.

Once the gaps were filled, the pause button turned out to be the most common part of all, in 46 percent of the catalog. Now every number in this series is checked against the data each time it's built.