And if you look at the end result, our estimate is almost exactly 11, which is the result of 10 1.

In this class so far we talked a good deal about planning.

So I love this picture, there is so much in it.

Yeah...

So it's 0, 0, 0, 0 please don't change it.

Zero to 10. How high? 10.

No neat packages of faith, with Bible references to prove them.

We have the same needs.

Then you arrive at a prediction that adds the motion of command to the mean, and it has an increased uncertainty over the initial uncertainty.

We've surrendered our power, trading off our discomfort with uncertainty for the illusion of certainty that they provide.

I will find myself in the same state as before.

Probabilities are the cornerstone of artificial intelligence.

Kind of exciting.

I initialized both with 0 because I don't know the actual location and the velocity.

And what we add is the constraint itself, but it's up multiplied by a strength factor.

This all would work out really well if the initial estimate was 5, but we're setting it to 0 with a very large uncertainty of 10,000.

So today is an exciting day.

And then the next update comes in at 6, and it gives us a measurement of 5.99 and now a reduced uncertainty of 2.39.

A gaussian with a small amount of uncertainty might look like this.

So, what I'd like to finish with is this over here.

He understood a concept that is universal deep and associated with the equation, the concept of Entropy.

The velocity estimate is correctly 1, which is .99999, and I have yet another uncertainty matrix which illustrates

And fifth, the element of uncertainty.

First, it can only handle true and false values.

We now apply the motion of 1. We get to 5.9.

R68 Possible risk of irreversible effects

We've seen how a search can discover sequences of actions to solve problems.

For my first question, I'll assume P equals 1.

So that was the word model . What about probabilistic ? The word

This is 1.24 to the 10th, but a really small uncertainty, even smaller than this one over here.

That gives me my new x.

It might be possible to have a fairly small uncertainty in 1 dimension, but a huge uncertainty in the other.

On the other hand, statistics that's a subject that you could, and should, use on daily basis.

I define vulnerability as emotional risk, exposure, uncertainty.

We never brought planning and uncertainty together, uncertainty and learning, or planning and learning.

It's 4.98.

And then we go to move to the right again by 1, which makes the prediction 6.99.

I learn nothing about the velocity, so it's still 0, just the way I initialized it.

Welcome back.

We update our position to be 2.666, which is now a jump away from 1, and we reduce our uncertainty.

There's the fuel you pick. So very quickly, six needs.

At this point unconfirmed reports Indicate that

We talked about uncertainty and probabilities, and we also talked about learning, but all 3 items were discussed separately.

You then predict that you add 1, but the uncertainty increases to 5.99, which is the motion uncertainty of 2.

The answer is yes.