Original subtitles

In short, this course is broken into two parts.

The first part is about making decisions--about how computation can give rise to

behavior. We're going to think about about how do search and planning, how to do constraint satisfaction,

and how to think about the presence of adversaries and uncertainty.

The second part of this course is about reasoning when there's uncertainty,

and about learning. We're gonna think about representing knowledge, uncertain

knowledge with Bayes nets, we're going to talk about decision theory and machine learning.

This is the two sides of AI that I talked about. When you make a good

decision it's partly because of memory,

you've learned from the past,

and it's partly because of prediction, you have a model of the consequences of your actions.

We're going to learn how to blend these two things together to give rise to sophisticated

and intelligent behaviors.

Throughout all of this,

we're gonna have applications like natural language and vision and robotics,

and games.

So,

thank you for attending this first lecture of CS 188,

and we will see you next lecture.