Odours have a complex topography, and it’s been mapped by AI | Aeon Essays
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We can split light by a prism, sounds by tones, but surely the world of odour is too complex and personal? Strangely, no
  • ඞmir@lemmy.mlEnglish
    03·
    3 months ago

    AI is about making a system seem intelligent, by having it do human-like tasks. This is the type of machine learnig that is the opposite of that.

      • barsoap@lemm.eeEnglish
        11·
        3 months ago

        Unless you talk to game developers where a “follow the ball” “algorithm” for Pong classifies as AI, because it’s controlling the behaviour of a game-world agent that’s not the player. The term pretty much matches up with what game theorists (as in game theory, not computer games) call strategies. If people use ML for that kind of stuff it’s not the approaches which make news nowadays because inference is (comparatively) expensive, stuff like NEAT churns out much more sensible actor programs as it evolves structure, not just weight.

        • sugar_in_your_tea@sh.itjust.worksEnglish
          3·
          3 months ago

          AI in games is not AI in the CS sense, and that’s probably where the confusion is coming from. AI in games uses the cultural definition that includes things like C3PO and whatnot, whereas AI in the CS sense is just about any algorithm that seems to learn as its environment changes, usually to find a better (more fitting) solution than the previous iteration. Game AI is generally just pathing and direct responses to stimuli, it doesn’t really learn, so players can cheese the AI pretty consistently.

          I think games using actual AI would be undesirable because it would make games involving AI much less predictable and probably way harder. It would also likely use way more compute resources.