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tifani.obrien Intro to AI English 4 cards

Cards in this deck (4)

  1. 1Learning Weights:– Simplest, most pervasive
    – Behavior controlled by parameters:
    • Samuel’s weighted board evaluation
    • NIM’s weighted action sets
    • ANN weights
    • …
    – Key issue: learning rule
    • How and when to do weight modifications
  2. 2Learning Structures:– More complicated, more potential …
    – E.g., decision tree:
    • Nodes represent questions
    • Links represent possible answers
    • E.g., Quinlan’s C4.5 system
    – Key issue: learning rule
    • How and when to do tree modifications
  3. 3Internal Aspects• Learning Executable Code:
    – Most complicated, most potential …
    – Key issue: ML-friendly programming languages
    • Rules
    • Lisp
    – Key issue: learning rule
    • How and when to do code modifications
  4. 4ML: External AspectsSupervised Learning
    – Externally controlled setting
    – Typically:
    • A set of problems to be solved
    • Feedback given as:
    – Correct results (e.g., classification)
    – Reinforcement (reward/punishment)

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Intro to AI Flashcards on Untitled, created by tifani.obrien on 09/05/2014.
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tifani.obrien
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