Uploaded by mlClassStaff on 07.11.2011

Transcript:

One, two, three.

One, two, three.

One, two, three.

Oh, hi.

My name is Yoav Shoham.

I am a professor of computer science here at Stanford.

My area is artificial intelligence,

logic, game theory, electronic commerce.

And I'd like to introduce my friend, Matt.

Hi. I'm Matthew Jackson.

I'm a professor of economics here

at Stanford University and we're

here. My interests include

game theory, political economy

and the analysis of social and

economic networks and we are

here to tell you about an exciting

new course that will be online, on game theory.

And in terms of

the coverage of this

game theory course, it

includes the games like we were just playing, rock paper scissors.

Includes parlor games like Go, Chess, etc.

But it also includes a number

of really important examples of how people behave in the world today.

And it covers basically the mathematics

of rational interaction and also irrational interaction.

So things like understanding how people

will behave in an auction,

how we understand how the

markets like the New York Stock

Exchange behave, how do

political campaigns work, how

do countries decide when to go to war.

So, a whole series of very important applications.

And that's part of the

reason it's become such an important

methodology in economics.

Yoav, why is a computer scientists interested in game theory?

Oh, I mean, today the interest

in game theory in computer science is intense.

And after all, how

would we begin to analyze eBay

or Peer to

Peer networks or keyword auctions

on Google, if

we didn't muddle the rationality

and self interest of players, and

so it comes very naturally to us now.

So, let me tell you a little bit about the class and it's structure.

So, the course will have

weekly lectures and

the lectures will be divided into

roughly 10-minute sections where

you can answer some questions between the different sections.

Those will be graded

online and in real time,

so you'll get feedback about those.

There will also be a final exam for the course.

In terms of the subject matter,

we'll start by covering how you

represent games, players, strategies.

We'll talk about the normal form, which is the canonical representation

of the game.

We will talk about extensive form games

which allow for dynamics and for people to react to each other.

We will talk about

situations where there might be incomplete information.

So, how did you bid at an

auction when you're bidding

against somebody who might have different information from you?

We will talk about games

over time, repeated games over time.

So there's a whole series of the

basic structures of games

and analysis that we'll cover.

And there will also be a question

board that you can interact with

other students through so if

you have questions about subject matter and so forth, you can get answered.

I think that, in

terms of prerequisites, we're going

to assume that people are familiar

with basic calculus and also

have some knowledge of

probability so that you'll

know what, for instance, a conditional

probability is, but we're

not going to assume any specific knowledge beyond that.

So, it should be an exciting course.

Very exciting.

Really the first time such a

course as game theory

has been taught at such a grand

scale really aimed at

a very broad audience, not

just specialists in economics

or in computer science, but really

anybody interested in strategic interaction

with who

is willing to embrace a basic mathematical approach.

Very exciting. Probably also

a little challenging given the

broad interdisciplinary nature,

in fact, you and I

may find ourselves disagreeing at times.

How are we gonna handle that?

Can we agree to disagree?

We'll find out.

So where were we, professor?

One, two, three.

One, two, three.

Oh, hi.

My name is Yoav Shoham.

I am a professor of computer science here at Stanford.

My area is artificial intelligence,

logic, game theory, electronic commerce.

And I'd like to introduce my friend, Matt.

Hi. I'm Matthew Jackson.

I'm a professor of economics here

at Stanford University and we're

here. My interests include

game theory, political economy

and the analysis of social and

economic networks and we are

here to tell you about an exciting

new course that will be online, on game theory.

And in terms of

the coverage of this

game theory course, it

includes the games like we were just playing, rock paper scissors.

Includes parlor games like Go, Chess, etc.

But it also includes a number

of really important examples of how people behave in the world today.

And it covers basically the mathematics

of rational interaction and also irrational interaction.

So things like understanding how people

will behave in an auction,

how we understand how the

markets like the New York Stock

Exchange behave, how do

political campaigns work, how

do countries decide when to go to war.

So, a whole series of very important applications.

And that's part of the

reason it's become such an important

methodology in economics.

Yoav, why is a computer scientists interested in game theory?

Oh, I mean, today the interest

in game theory in computer science is intense.

And after all, how

would we begin to analyze eBay

or Peer to

Peer networks or keyword auctions

on Google, if

we didn't muddle the rationality

and self interest of players, and

so it comes very naturally to us now.

So, let me tell you a little bit about the class and it's structure.

So, the course will have

weekly lectures and

the lectures will be divided into

roughly 10-minute sections where

you can answer some questions between the different sections.

Those will be graded

online and in real time,

so you'll get feedback about those.

There will also be a final exam for the course.

In terms of the subject matter,

we'll start by covering how you

represent games, players, strategies.

We'll talk about the normal form, which is the canonical representation

of the game.

We will talk about extensive form games

which allow for dynamics and for people to react to each other.

We will talk about

situations where there might be incomplete information.

So, how did you bid at an

auction when you're bidding

against somebody who might have different information from you?

We will talk about games

over time, repeated games over time.

So there's a whole series of the

basic structures of games

and analysis that we'll cover.

And there will also be a question

board that you can interact with

other students through so if

you have questions about subject matter and so forth, you can get answered.

I think that, in

terms of prerequisites, we're going

to assume that people are familiar

with basic calculus and also

have some knowledge of

probability so that you'll

know what, for instance, a conditional

probability is, but we're

not going to assume any specific knowledge beyond that.

So, it should be an exciting course.

Very exciting.

Really the first time such a

course as game theory

has been taught at such a grand

scale really aimed at

a very broad audience, not

just specialists in economics

or in computer science, but really

anybody interested in strategic interaction

with who

is willing to embrace a basic mathematical approach.

Very exciting. Probably also

a little challenging given the

broad interdisciplinary nature,

in fact, you and I

may find ourselves disagreeing at times.

How are we gonna handle that?

Can we agree to disagree?

We'll find out.

So where were we, professor?