From: The Carrot and the Stick for Computers: How AI Learns by Doing
perspectivebiological

Biologists and psychologists note that this computer method is deeply rooted in animal behavior. Our own brains use chemical rewards, like dopamine, to make us repeat actions that keep us alive, such as eating good food. When a computer learns through rewards, it is essentially copying the basic survival instincts of a dog, a mouse, or a human. It bridges the gap between machine code and biological life.

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Supporting arguments

  • Mimics dopamine pathways in animals
  • Shares roots with behavioral psychology
  • Shows how machines can learn like living creatures
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evidence
Reinforcement learning trains computers through a feedback system of rewards and penalties.
evidence
The computer must constantly choose between using moves it already knows work and trying complete...
evidence
Unlike other AI methods, reinforcement learning does not need pre-labeled data to learn.
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The Carrot and the Stick for Computers: How AI Learns by Doing
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