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General Details
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Java
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Posted 1.8 Year Ago
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383 Views
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Received 1 Rating
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HIgh-Low Card with A Neural A.I.
Description
Well this was the first time I touched a somewhat advanced AI. I was fascinated by neural networks, so I wanted to try my hand at it. I could think of no better catalyst for such a project, than a simple game of high card low card.
For those of you who don't know the concept of the game, I'll quickly explain it. A card is drawn from a standard deck. A player must predict if the next drawn card will be higher or lower than the next drawn card. The point of the game is to keep playing as long as possible, without guessing incorrectly.
The player in my game is the AI. It replicates neurons in a brain, although not the same way as a neural network. Instead, the neurons only converse in a linear fashion. That is, there is not true cross-linking involved. I also added a small element of randomized risk, but that's just a little addition.
I had a lot of fun with this project. First time I got to make an AI that was slightly more complicated. Looking back on it, I see many inefficiencies and problems, but it brought some nostalgia to me so I though that I'd post it.
Technical
The JVM.
Source Code
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Download Source Code
Neural AI - High Low.zip ( 0.00Mb )
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Comments
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Thanks. I'll check it out. I didn't really know what I was doing when I made this, so it's good to relearn it formally.
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