Pocket Go
A downloadable game
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Take Go on the go with your Playdate.
Now featuring an alpha version AI opponent alongside traditional two-player mode
Now you can bring one of the world's oldest games with you wherever you go with your Playdate. Features a 9x9 board using territory scoring and adjustable komi (5.5, 6.5, and 7.5). Scoring happens automatically once both players pass in succession. Currently dead stones are not automatically removed, so make sure to play out the position until it is absolutely clear who controls which areas, as neither color will receive points for ambiguous empty space.
If you do choose to donate, 1.5% will go towards removing CO₂ from the atmosphere 🌎
Status | Released |
Rating | Rated 1.0 out of 5 stars (1 total ratings) |
Author | Nathan Heffley |
Genre | Strategy |
Made with | Playdate |
Tags | Board Game, pass-and-play, Playdate |
Download
Download NowName your own price
Click download now to get access to the following files:
pocket-go.pdx.zip 86 kB
Development log
- Adding a simple AI to Pocket GoJan 13, 2024
- Pocket GoFeb 01, 2023
Comments
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Thank you thank you thank you!
Have been waiting for someone to make this for a while now!
Glad you like it!
Any other features you’d like? I want to have a single player feature, maybe like a joseki practice mode, or if there’s enough interest in a paid version (which there clearly is some, thank you very much BTW 🥰), I could look into whether or not the Playdate could handle a 9x9 Go AI. Probably wouldn’t be very hard to beat though if it’s even possible to run something that actually makes non-random moves 😂
You could try to fake an AI, by have a precalculated "good move" list for scenarios. (Don't know how hard/feasible that would be)
Even on a 9x9 board there is a mind bogglingly large number of variations that a board can be in.
https://senseis.xmp.net/?NumberOfPossibleGoGames
Even if you tried to narrow that down by eliminating mirrored/rotated positions it would be far too large.
Literature on Go AIs is actually pretty sparse.
I could have it look for a couple of josekis though 🤔 All I’ve thought of is to find the group with the least liberties and surround it. It’d be a very, very simple bot to say the least 😂
Stumbled across Fuego and specifically the simple players, which all work based on one move analysis which meant it was feasible to implement on a Playdate, so that’s I did!
It’s very bad, but I kind of like crushing it after losing in an online game against a real human haha.
Amazing :D