We'll begin by considering meaning and, er, the meaning of meaning and what we can do about it computationally. Now, suppose you want express very general statements about the world, and relationships between entities. So you've represented your knowledge. You are smug about the crystal clear formalization of what it all means.
Probability is very very important in almost all areas of intelligent systems research.
You'll meet it many times in the course, so if you want a refresher on the basics, come to this session. Two dozen simple questions to revise your probability knowledge. Probability is the way to go if there's uncertainty to be represented. I guarantee that Bayes Rule will be used at least 100 times in this lecture. An assignment on all aspects of logic, meaning and automated logical inference, including probabilistic reasoning.