Syllabus

• AI: introduction and history. Chapter 1.
• Intelligent Agents. Chapter 2.
• Solving problems by searching. Uninformed search. Depth-first, breadth-first search. Chapter 3.1-4.
• Informed search. Search heuristics. A* search. Chapter 3.5-6.
• Playing games. Adversarial search. Mini-max algorithm. Chapter 5.
• Constraint satisfaction problems. Chapter 6.
• Logic. Propositional logic. Theorem proving. Chapter 7.
• First-order logic. Chapter 8.
• Planning. Chapter 10.
• Uncertainty. Review of probability. Probabilistic inference. Bayes' rule. Chapter 13.
• Bayesian networks. Chapter 14.
• Learning. Decision trees. Artificial neural networks. Backpropagation algorithm. Chapter 15.

Updated Mon Sept. 04 2017, 14:03 by maxwl.