It's got Ted Danson and Magnum P.I. and that jewish actor.

So chart state 0 includes the following parse states

And if you want to factor a p out of this, this is going to be equal to p times, if you take p divided p you get a 1, p square divided by p is p.

It's that grammar of balanced parentheses.

And the sentences are P or not P, P and not P,

And then this term over here, this whole thing over here, is going to be plus p times 1 is p. p times negative 2p is negative 2p squared.

Let's say that this is our grammar

Once again, based on this P, I'm going to start bringing in rules 1 and 2.

F, L, E, P, T, P L, E, P, F, L, F, L, E, P, T, P, L, F, E, T.

APPLE.

P of X3 given X1 is the sum of P of X3 given X1 and A times P of A given X1 plus the A complement, which is X3, conditional X1 and not A times P of not A given X1.

Now in probability terms, people often write it as follows

P of happiness given S and R times P of S and R, which is of course the product of those 2 because they are independent, plus P of happiness given not S R, probability of not as R plus P of H given S and not R times the probability of P of S and not R plus the last case,

You can actually compute this using total probability where P(Y) equals P(Y_BAR_X) times P(X) plus P(Y_BAR_ X) times (P X).

Let me just do this over here.

So, to get all 3 of them together, we just multiply these by 3.

So that cancels out.

So this is going to be equal to 1 minus p.

The first one looks pretty good. I just apply rule 1.

Excellent

Another way to think about that is let's say that we're in a particular state like this one

So, of the 8 possible outcomes of the coin flips, those 3 are the ones you want to count.

P of A given B where B is the evidence and A is the variable we care about is P of B given A times P of A over P of B.

P

p.

What's next?

P .

P ... P ...?

Teacup!

Similarly, over here I'm going to apply rule one three times.

P...

You're J. P. Prewitt.

All right. E, F, L, E, P, T P, L, E, P, F, L, E L, E, P, T, L, P, E, F, E, T, Z, E, T...

The cool buffersystem

The Better Man.

Valid.

So we said that this is equal to e to the r, so p times this is equal to p.

And the height of this 3 D surface here, that's p of x.

In fact, now a code every time you call the function robot and assign it say to a particle, here the i particle, these elements p i x, y, and orientation, which is the same as heading, are initialized at random.

Now let's add that pink p to both sides of this equation.

And right here, this environment is called PyScripter.

Rule 0 and rule 1 both apply to S, so I'm going to yield 2 things.

p priority

p Block

p Block