Three Unre hefted

When We Start It Up with an overview,

and we basically talked about

what is artificial intelligence

and we looked at a couple of definitions

I try to make fun of the kind of not so good definitions and the one I'll adopt

here is the one by Elaine Rich which says AI studies how we can make the

computer do things that human can still better at the moment. Even though this

has a big problem of course because whenever we understand something,

by making the computer do it,

it ceases to be AI.

We looked at the components of AI,

what you at least need to build AI.

From a phenomena point of view.

So I tried to convince you that we needed learning.

Certainly we have to adapt,

AI has to adapt to changing environments.

It also is much nicer to have a

system that is born as a baby

and then can learn from that.

We need to be able to draw

inferences, make new knowledge from old knowledge.

more people should have.

Something is not really working, other, we need

perception

aize is now consensus that aاز

is now consensus that AI need to be embodied

t in charcoal

the world, which means they need to perceive the

world, which means turns to a lot of

to a text on approaches language plays a big role

and we discussed that in a little bit of detail.