That ui is actually tabletop simulator, but it's playable in 2d on screentop.gg for current multiplayer (send a link to your friend) or against the AI bot on the main website.
https://screentop.gg/@Anthony/Amalgam
And yeah, It would be pretty simple to 3d print and play. The biggest thing is that the board isswlf is a bit large at full scale ~25 inches in diameter
Thanks! I cross posted :)
Thanks! Don't expect much from the actually not you play against, but it will hopefully at least give you a feel for how the gameplay works ;)
If you remember/have the time to follow up with any feedback after you try it, id love to hear your thoughts (good or bad)
Yeah, it does take a bit of movement to set up, and I've tohed with the idea of drinking down some space, but as you learn to chain nexus movement (pearl and amber pieces together) as well as swaps and jade launches, movement can be sped up quite a bit. Also, with the range of the abilities it can get a bit too cramped (although of course ranges could be reduced)
Mostly what I'm getting at, is that I need more okay testing from experienced playtesters (that actually have gotten fairly decent at the game) to make an accurate decision if a smaller board would be a good idea or not.
Thanks for trying it out and the feedback though :) I really appreciate it! If you have any more feedback, I'd love to hear it!
Yeah, I have a bit of a longer reply in one of the cross posts, and I'm too lazy to type it all over again - but largely I've kind of accepted that I won't be a programmer. Mostly its just about getting this one specific project finished (because it's not about the actual software as much as it is about the board game, for me).
I've picked up and abandoned this project so many times, but each time it seems I get a little bit further - so baby steps I guess lol. More-so, I'm just hoping to get something that is "good-enough" to get people interested and playing the game - and since the game is open source and creative commons, maybe someone from the player base will get interested enough to make it properly.
I've tried to become a programmer in the past (and actually changed career fields after realizing it wasn't for me) - but with new LLMs, I've figured maybe I can get by enough to at least patch something together that'll pass as a demo. Being honest with myself, I'm not going to invest the time or effort to become "good", especially on top of my day job.
But of course, I appreciate your input, advice, and time to reply :)
Yeah, I've been trying to use the LLM to help me make a hybrid system with hueristics/MCTS, but I think it mostly comes down to I don't know or understand enough about these AI systems to correctly guide the LLM. As for the main game, I know just enough programming to tweak and guide the LLM as a tool to make what I want, but it's somewhat a shot in the dark trying to navigate creating an AI system. I think if I have to continue on my own, I may just need to start doing more research on how these systems actually work.
Also, the board game, I've come to realize is actually quite complex compared to many board games, and has a very high number of possible moves, and varies heavily upon search depth - so I think I'm kind of starting out in "hard mode" if I'm correct.
Thanks for the advice! Yeah I've studied coding a decent amount (learned some web dev stacks, Visual Basic class, and python class in college) but nothing to the level of something like a computer science major. But if I'm being honest, it mostly comes down to not having the attention span/motivation/persistence to actually work through the tedious process of becoming an actual "good & knowledgeable" programmer. I've tried this project a few times before AI LLMs were a thing, and I've always abandoned the project due to lack of motivation after some time.
But your advice still is very useful, and yeah - I've fiddled with trying to tweak hueristical aspects to make the AI more competent, but I've found I quickly get over my head. I think like you said, maybe I need to do some actual studying - especially in the hueristics/game AI portion. With the main game code, I somewhat can parse what code is being created, but when it comes to the AI player logic, I'm clueless as to what the LLM is outputting or how to tweak/adjust as needed.
Also, it's made me curious to ditch the hueristics option and try to actually try true ML instead, but that would likely be far harder is my guess.
Regardless, thanks for your thoughts!
cross-posted from: https://piefed.zip/c/machinelearning/p/1092955/looking-for-ml-coders-for-help-with-open-source-creative-commons-board-game-ai-player-logi
I know this is probably a long shot, but I'm not sure where else to ask so I'm going to take a shot.
I've designed and abstract board game (think chess, shogi, go, etc) and have completed coding the rules for play against an AI player, however getting the actual AI to be good is a whole other problem.
I would love if someone who is experienced in ML would be interested in collaborating on this open source project.
The game is strictly a hobby project, with absolutely no plans for monitization or anything. Currently it's playable in the browser against AI (no multiplayer yet set up) at: https://greenants.github.io/Amalgam_Webgame/
GitHub Repo: https://github.com/GreenAnts/Amalgam_Webgame
Disclaimer: I've mostly used AI to code this project, as I'm a pretty novice programmer. Obviously that's controversial, so I want to make that clear - but remember this is simply a hobby project, and is a way for me to get my board game design digitized and actually played by others. The code will likely be a bit on the messy side, but I think for the most part the ML coder would only be interacting with the controller - so shouldn't be too much of a factor.
From my limited understanding, the actual search depth and complexity of the game is quite high, far higher than chess, so it's been quite hard for me to try and get this set up even with the help of AI coding with hueristics.
If you are interested in in the project at all, I'm always looking for help to farther this project - as I've been working on the board game itself (on and off) for more than 10 years.
The GitHub Repo listed above (in the README.md) has a graphical rulebook as well as a video tutorial linked for you to learn the rules and get an idea of the game complexity if you are interested.
Like I said, I know this is a long shot, and unlikely anyone will be interested, but I figured I'd give it a shot :)
cross-posted from: https://piefed.zip/c/machinelearning/p/1092955/looking-for-ml-coders-for-help-with-open-source-creative-commons-board-game-ai-player-logi
I know this is probably a long shot, but I'm not sure where else to ask so I'm going to take a shot.
I've designed and abstract board game (think chess, shogi, go, etc) and have completed coding the rules for play against an AI player, however getting the actual AI to be good is a whole other problem.
I would love if someone who is experienced in ML would be interested in collaborating on this open source project.
The game is strictly a hobby project, with absolutely no plans for monitization or anything. Currently it's playable in the browser against AI (no multiplayer yet set up) at: https://greenants.github.io/Amalgam_Webgame/
GitHub Repo: https://github.com/GreenAnts/Amalgam_Webgame
Disclaimer: I've mostly used AI to code this project, as I'm a pretty novice programmer. Obviously that's controversial, so I want to make that clear - but remember this is simply a hobby project, and is a way for me to get my board game design digitized and actually played by others. The code will likely be a bit on the messy side, but I think for the most part the ML coder would only be interacting with the controller - so shouldn't be too much of a factor.
From my limited understanding, the actual search depth and complexity of the game is quite high, far higher than chess, so it's been quite hard for me to try and get this set up even with the help of AI coding with hueristics.
If you are interested in in the project at all, I'm always looking for help to farther this project - as I've been working on the board game itself (on and off) for more than 10 years.
The GitHub Repo listed above (in the README.md) has a graphical rulebook as well as a video tutorial linked for you to learn the rules and get an idea of the game complexity if you are interested.
Like I said, I know this is a long shot, and unlikely anyone will be interested, but I figured I'd give it a shot :)
Interesting take, I respect your opinion, even if I don't agree. I'd be interested in your take of having workers being able to have a say in where tax money is actually spent (I forget the term she used), that they are advocating for in Tulsa Oklahoma and is a system they use somewhere in Latin or south America (was it Argentina or something?).
Fair enough - and yeah I'm going based off of what I've heard, not from personal experience, so I could definitely be wrong. But yeah, I'm sure it is largely location dependent as well as a lot of other factors as well.
I know it's just a meme, and I don't want to be "that guy" but van life isn't actually as affordable as it's often made out to seem. Lots of hidden costs to take into account like where you can park and etc.
Oh, ok - I see what you are saying. To use that community to federate with. Yeah that's a great idea - and I'll definitely keep it in mind once I eventually switch over to nodeBB :)
The rules page on the main website is placeholder text - for the actual rules you need to watch the video or read the rules documents linked above. Planning to set up the main website rules page with more of a "tutorial" walkthrough type of experience, or animated gifs - just haven't gotten to it yet.