this post was submitted on 27 Oct 2024
109 points (95.0% liked)

Games

32579 readers
1707 users here now

Welcome to the largest gaming community on Lemmy! Discussion for all kinds of games. Video games, tabletop games, card games etc.

Weekly Threads:

What Are You Playing?

The Weekly Discussion Topic

Rules:

  1. Submissions have to be related to games

  2. No bigotry or harassment, be civil

  3. No excessive self-promotion

  4. Stay on-topic; no memes, funny videos, giveaways, reposts, or low-effort posts

  5. Mark Spoilers and NSFW

  6. No linking to piracy

More information about the community rules can be found here.

founded 1 year ago
MODERATORS
 

Playing complex strategy games for many years, one of the things that irks me the most is that hard AI levels often just give the dumb AI cheats to simulate it being smarter. To me, it's not very satisfying to go against cheating AI. Are any games today leveraging neural networks to supplant or augment hand-written decision tree based AI? Are any under development? I know AI can be resource intensive, but it seems that at least turn based games could employ it.

you are viewing a single comment's thread
view the rest of the comments
[–] andrew_bidlaw@sh.itjust.works 1 points 3 weeks ago

Yes it is, it's 100% scripted. And yes, in the environment where you can do like 10 different actions, they start to do their routine adding ones that you used in that cycle before they get reset. In a sense, they act no more natural than monsters from a tabletop game.

But these do make me think that if we talk gamedesign with a LLM as an actor, it should too have a very tight set of options around it to effectively learn. The ideal situation is something simplistic, like Google's dino jumper where the target is getting as far as it can by recognising a barrier and jumping at the right time.

But when things get not that trivial, like when in CS 1.6 we have a choice to plant a bomb or kill all CTs, it needs a lot of learning to decide what of these two options is statistically right at any moment. And it needs to do this while having a choice of guns, a neverending branching tree of routes to take, tactics to use, and how to coexist with it's teammates. And with growing complexity it's hard to make sure that it's guided right.

Imagine you have thousands of parameters from it playing one year straight to lose and to win. And you need to add weight to parameters that do affect it's chance to win while it keeps learning. It's more of a task than writing a believable bot, that is already dificult.

And the way ECHO fakes it... makes it less of a headache. Because if you limit possible options to the point close to Google's dino, you can establish a firm grasp on teaching the LLM how to behave in a bunch of pre-defined situations.

And if you won't, it's probably easier to 'fake it' like ECHO or F.E.A.R. does giving a player an impression of AI when it's just a complicated scri orchestrating the spectacle.