Final review

  • Foundations of AI

    • Definitions of AI
    • Turing Test
  • Methods in AI

    • State-Space Search

    • Statistical and ML

      • Types of ML

        • Unsupervised
        • Supervised
        • Reinforcement
      • Methods

        • K-Nearest Neighbor
        • Bayesian and Naive Bayesian
        • Information Gain and Decision Trees
        • Perceptrons and Neural Nets
    • Other Emergent Systems

      • GAs
      • Ant Colony etc
      • Particle Filters
    • Applications

      • Direct stuff: puzzle-solving, gameplay, routefinding
      • Robotics etc: Navigation and control
  • Ethics of AI

Last modified: Thursday, 5 December 2019, 4:20 PM