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.

  • Ephera@lemmy.mlEnglish
    2·
    27 days ago

    Yeah, the easiest thing to implement is omnipotent AI. The code for the AI is executed within the game engine, so you have complete access to any information you want.

    You can just query the player position at any point in time, even if there’s a wall between the NPC and the player. It requires extra logic to not use the player position in such a case, or to only use the rough player position after the player made a noise, for example.

    Of course, the decision-making is a whole separate story. Even an omnipotent AI won’t know how to use this information, unless you provide it with rules.

    I’m guessing, what OP wants is:

    1. limiting the knowledge of the AI by just feeding it a rendered image like humans see it, and
    2. somehow train AI on this input, so it figures out such rules on its own.