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by tanjtanjtanj
2111 days ago
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Actually, I'd wager that Cards Against Humanity would be one of the games a model would be best at over a human.
There are only a limited number of white cards that could work with any given black card and it could fairly quickly bucket a player into certain types most likely to pick certain cards.
Would it be perfect? No, but that's the nature of the game and with only seven options and no branching paths it doesn't seem like a stretch to say a trained model can trivially beat an average player and challenge a more "advanced" player. |
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Dixit is a bunch of very different pictures and the goal is to say something about the card you've picked such that some of the other players will know which one it was but not all of them, your opponents are listening to your description and can pick from their own hands of cards. You get points for: Identifying the correct card based on the description when it isn't your turn; Playing a card which people mistook for the correct card when it isn't your turn; Some but not all other players guessing your card when it was your turn.
So that ends up being about shared experiences and culture, because if you share culture with someone you can allude to some element of the picture in a way that's completely opaque to everybody who doesn't share that culture, allowing the "in group" to identify your card while everybody else can't do better than luck.
For an AI there are two interesting challenges. Firstly, in "understanding" the pictures shown on the cards. It's not enough to be like "That's a cat" "That's a book" "That's a tree" you need somehow to compete with a human that thinks "Hmm, that's kinda like the Rapunzel story except it's a bird instead of a princess?" and "The dragon looks happy"
But then the AI also needs cultural context like a human player so it can try to judge good descriptions: "Happy Dragon" is obviously this card, "Cat" might be any of half a dozen cards, how about "I am your father" as a reference to the Cloud City scene that looks a bit like this picture - and so it can try to pick cards that match human descriptions to steal points that way.