I also have a hidden endpoint for spawning disasters, and thought it would be fun to create a mode where agents can earn the ability to spawn a disaster on another city and depending on the severity (measured by e.g. population loss a game month later) you earn or lose money.

https://vitamoo.space

https://github.com/SimHacker/SimObliterator_Suite/tree/don-p...

VitaMoo is a TypeScript library that reads and writes and plays The Sims 1 character animation content.

It's part of SimObliterator, a Python library for reading and writing The Sims 1 save files!

https://github.com/DnfJeff/SimObliterator_Suite

More technical info:

https://github.com/SimHacker/SimObliterator_Suite/blob/don-p...

I don't think it would take much to run locally. In fact, before I did this public version I did a local version on an exe.dev VM (more details here: https://dunn.us/notes/vibe-gaming-simcity/).

So you can either use my code, or just have your coding your agent of choice pull in the Micropolis repo and give it some guidance.

So far this is running quite nicely on a $5 cloudflare account. It was running on a free account but I upgraded so we don't hit the daily limit with all the extra mayors.

Shoot me a message if I can help.

For running locally, I'd recommend the MicropolisCore repo over the one linked in the original post. MicropolisCore is a clean C++ rewrite that compiles to WASM -- runs headless in Node or in any browser:

https://github.com/SimHacker/MicropolisCore

The Raspberry Pi wall display idea is great. The simulation is lightweight enough for that.

The simulator runs and I've written a tile rendering engine in TypeScript/WebGL, but I haven't finished the user interface. (But the Space Inventory works!)

Live demo: https://micropolisweb.com

Here is a video demo of how it works:

Micropolis Web Demo 1:

https://www.youtube.com/watch?v=wlHGfNlE8Os

For fun, I added all the classic tile sets, and it can run a couple of cellular automate rules as well as the game simulator. Here's a video to some original music by Jerry Martin, who composed the music in The Sims and SimCity (see the above video and the keyboard shortcuts in the help window to understand what's going here):

SimCity Micropolis Tile Sets Space Inventory Cellular Automata To Jerry Martin's Chill Resolve:

https://www.youtube.com/watch?v=319i7slXcbI

Here's more about my plans for making a multi player version of Micropolis with time travel, branching, and merging, by using github as MMPORG platform (when it's not down ;):

https://github.com/SimHacker/moollm/blob/main/designs/sims/s...

MOOLLM's "micropolis" skill is still in the design stages, but here's what I've started, which starts by describing the multi player version of SimCity I released in 1993:

SimCityNet announcement (1993):

http://www.art.net/~hopkins/Don/simcity/simcity-announcement...

Multi Player SimCityNet for X11 on Linux:

https://www.youtube.com/watch?v=_fVl4dGwUrA

micropolis skill README, including GitHub-as-MMPORG (MicropolisHub), and Alan Kay's Critique and Vision:

https://github.com/SimHacker/moollm/tree/main/skills/micropo...

micropolis skill prototype:

https://github.com/SimHacker/moollm/blob/main/skills/micropo...

More context about what MOOLLM is:

https://github.com/SimHacker/moollm

And how it extends Anthropic Skills with 8 important features:

MOOLLM: A Microworld Operating System for LLM Orchestration:

https://github.com/SimHacker/moollm/blob/main/designs/LEELA-...

MOOLLM is kind of like The Sims meets LambdaMOO in Cursor then steals all the great ideas from Factorio:

Factorio MOOLLM Design:

https://github.com/SimHacker/moollm/blob/main/designs/FACTOR...

Factorio Logistics Protocol:

https://github.com/SimHacker/moollm/blob/main/designs/factor...

logistic-container skill:

README.md: https://github.com/SimHacker/moollm/tree/main/skills/logisti...

SKILL.md: https://github.com/SimHacker/moollm/blob/main/skills/logisti...

His key trick: recursive weight-sharing in fractal convolutional blocks, so each column of the network acts as a continuous-valued cellular automaton ticking different numbers of times. The deepest column gets a 33x33 receptive field -- enough to connect power across an entire 32x32 map in one forward pass.

The agents discovered power-plant + residential pairing, road placement for density, zone clustering by type, and traffic-avoiding road layouts. When stuck at local optima, a human player could intervene (deleting power plants) to force re-exploration -- and the agent would improve its design.

The paper was 2019, before LLMs were doing this kind of thing. Different paradigm (RL on tile grids vs. LLMs on coordinate text), same hard problem.

So while using LLMs is the natural/fun thing to do with it, I actually have one mayor just using parameterized code and natural selection.

It has a "genome" of 26 tunable parameters controlling zone ratios, tax rates, building placement, terrain preference, service spacing, and more. Each city, it stamps down 11x11 blocks (roads, zones, power corridors). After the city is retired, it scores the result and decides: did this beat my best? If yes, save those params. If no, mutate and try again. Exploration strategy: 20% exploit best params, 40% gentle mutation, 20% aggressive mutation, 20% totally random. Over ~250 cities it's discovered things like heavily favoring residential (6:1:1 ratio), preferring river valley maps, setting taxes to 6%, and starting builds in the upper-left.

https://github.com/lawless-m/FacRepl

It did make a REPL, in order for it to place objects within the game using a DSL.

I kind of gave up on the Constraints Based bit, and never returned.

source: https://www.twitch.tv/claudeplayspokemon

https://api.hallucinatingsplines.com/reference#tag/cities/GE...

You can also pull the map tiles as an array: https://api.hallucinatingsplines.com/reference#tag/cities/GE...

Would be interesting to two agents with the same instructions do a "face off" but each only has access to one type of map.