* means the notes are incomplete

• Syllabus
• What is AI?
  • The Turing test
  • A coffeehouse conversation
  • General Problem Solver (GPS)
  • The knowledge level
• Search
  • Uninformed search
  • Informed search
  • Practice with searching
  • Adversarial search
  • Genetic algorithms
• Knowledge representation
  • Boolean logic
  • Propositional logic
  • First order logic
  • Prolog
  • Prolog unification
  • Prolog resolution
  • Prolog examples
• Multi-agent systems*
  • Ant intelligence*
  • NetLogo*
  • The prisoner's dilemma*
  • Particle swarm optimization*
• Machine Learning*
  • k-means clustering
  • Classification evaluation
  • k-nearest neighbor classification
  • Bayesian inference
  • Naïve Bayesian classification
  • Text classification
  • Neural networks*
  • Weka (machine learning software)
• Computer vision*
  • Image convolutions and transformations
  • Feature detection*
  • Object tracking*
  • Face detection*
• Philosophical perspectives*
  • The "Chinese room" argument
  • The Norvig–Chomsky debate
  • Robot ethics*

Intro to AI

• Homework 1
• Homework 2
• Homework 3
• Midterm guide
• Homework 4
• Homework 5
• Homework 6
• Final guide

Videos of Autumn 2012 lectures

Intro to AI material by Joshua Eckroth is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License. Source code for this website available at GitHub.