Learn about the fundamentals of Artificial Intelligence in this introductory graduate-level course. It provides a survey of various topics in the field along with in-depth discussion of foundational concepts such as classical search, probability, machine learning, logic and planning.
Overview
Syllabus
- Search
- Game Playing,Basics of Search,Logic and Planning
- Constraints and Bayes Nets
- Constraint Satisfaction,Probability,Bayes Nets
- Basics of Machine Learning
- Simulated Annealing,Machine Learning,Pattern Recognition through Time
Taught by
Thad Starner
