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  3. I just want an ai model that categorises player types and explains to me what and why makes certain types like some mechanics.

I just want an ai model that categorises player types and explains to me what and why makes certain types like some mechanics.

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  • K This user is from outside of this forum
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    wrote on last edited by
    #1

    I just want an ai model that categorises player types and explains to me what and why makes certain types like some mechanics. It's not useful in the least to generate visuals

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      I just want an ai model that categorises player types and explains to me what and why makes certain types like some mechanics. It's not useful in the least to generate visuals

      E This user is from outside of this forum
      E This user is from outside of this forum
      [email protected]
      wrote on last edited by
      #2

      What? I read that three times and it still doesn't make sense.

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      • E [email protected]

        What? I read that three times and it still doesn't make sense.

        K This user is from outside of this forum
        K This user is from outside of this forum
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        wrote on last edited by
        #3

        When you make games one of the hardest part is figuring out what works best for gamers that don't like the same things as you, if that makes sense. I feel like a model could help with things adjacent to that

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        • E [email protected]

          What? I read that three times and it still doesn't make sense.

          R This user is from outside of this forum
          R This user is from outside of this forum
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          wrote on last edited by
          #4

          In WoT game there was such a category of mods called "оленеметр", literally "deer-o-meter", where "deer" is a word for, ahem, the worst kind of "noob".

          I suppose that's what they mean - a tool that analyzes players in a match by their previous games and stats and shows some colors and icons indicating that this one has good reaction, this one is likely to become erratic when their team starts losing, and so on. Also suggests best course of action against them.

          I suspect that this is also how they are weaponizing these things IRL.

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            In WoT game there was such a category of mods called "оленеметр", literally "deer-o-meter", where "deer" is a word for, ahem, the worst kind of "noob".

            I suppose that's what they mean - a tool that analyzes players in a match by their previous games and stats and shows some colors and icons indicating that this one has good reaction, this one is likely to become erratic when their team starts losing, and so on. Also suggests best course of action against them.

            I suspect that this is also how they are weaponizing these things IRL.

            F This user is from outside of this forum
            F This user is from outside of this forum
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            wrote on last edited by
            #5

            In machine learning, that task is referred to as classification

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            • F [email protected]

              In machine learning, that task is referred to as classification

              R This user is from outside of this forum
              R This user is from outside of this forum
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              wrote on last edited by
              #6

              Ah, yes, there's also extrapolation here though.

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