Interactive Activation and Competition Network

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  • เผยแพร่เมื่อ 24 ธ.ค. 2024

ความคิดเห็น • 19

  • @snippletrap
    @snippletrap 4 ปีที่แล้ว +7

    I miss the days when people used to settle their differences with choreographed dance routines.

  • @caitlyncarlisle2162
    @caitlyncarlisle2162 5 ปีที่แล้ว

    When running the simulation, you often see multiple nodes respond to a name ( like two careers) will activate for Sam. Is this because of demographic over lap? Like other members with similar age and status as Sam have that secondary career? So the network draws on that association?

    • @jeffyoshimi1658
      @jeffyoshimi1658 5 ปีที่แล้ว +1

      Yes exactly, I believe that's what's happening. Maybe Sam and Joe and Bob (making these names up) are all in the Jets and in their 20's, but they have a few different jobs. Because of these overlaps activating Sam will active the Joe and Bob instance nodes, which will activate the jobs they have. Intuitively, this makes sense. When you hear a friend's name you might think not just about that person's job, but of jobs associated with people _like_ that person. You can see how this could explain things like stereotypes as well.

  • @caitlyncarlisle2162
    @caitlyncarlisle2162 5 ปีที่แล้ว

    When I use the one-two method to create my own network, I do not think it is setting up a bidirectional connection. Only on red dot is appearing on one side. What may I be doing incorrectly?

    • @jeffyoshimi1658
      @jeffyoshimi1658 5 ปีที่แล้ว

      The 1-2 trick does only create one-directional connections. You can get pretty fast at just doing the trick twice to get both connections, but if you want to do it in one go, you can shift-select two neurons, then press 1-2, and it will do what you're looking for.

  • @matt234111
    @matt234111 8 ปีที่แล้ว +1

    Thanks, great presentation. Love the program.

  • @pratyushamallela8967
    @pratyushamallela8967 8 ปีที่แล้ว

    Can I do this with a SOM based neural n/w?

    • @jeffyoshimi1658
      @jeffyoshimi1658 8 ปีที่แล้ว

      Hi there. There may be a way to merge these ideas, but in general the purposes are different. SOM's are mainly used in a "feed-forward" way to automatically classify inputs, whereas IAC is a more recurrent way of modeling memory.

  • @caitlyncarlisle2162
    @caitlyncarlisle2162 5 ปีที่แล้ว

    How do you reset the iterations??

    • @jeffyoshimi1658
      @jeffyoshimi1658 5 ปีที่แล้ว +1

      Hi there. Double click on the label that shows the iterations.

    • @caitlyncarlisle2162
      @caitlyncarlisle2162 5 ปีที่แล้ว

      @@jeffyoshimi1658 Wow, I feel silly. Thank you so much.

  • @LukeRen-rl4yv
    @LukeRen-rl4yv 6 ปีที่แล้ว

    I made one for numbers, high-med-low even-odd, and 2 was kind of even a bit medium and low...

    • @LukeRen-rl4yv
      @LukeRen-rl4yv 6 ปีที่แล้ว

      5 is like 7...

    • @LukeRen-rl4yv
      @LukeRen-rl4yv 6 ปีที่แล้ว

      8 is exactly the same as 6... hahahha... my creation is dumb... hahahhha

    • @LukeRen-rl4yv
      @LukeRen-rl4yv 6 ปีที่แล้ว

      wait... 6 is more 8-like than 8 itself :0

    • @LukeRen-rl4yv
      @LukeRen-rl4yv 6 ปีที่แล้ว

      if you don't give it input it assumes the that... i guess... all numbers are like 6 and 8...

  • @hunarahmad
    @hunarahmad 7 ปีที่แล้ว

    thanks

  • @LukeRen-rl4yv
    @LukeRen-rl4yv 6 ปีที่แล้ว

    Somebody needs to make a dragon flies mind...