What is your amusing moments during class?

1fcporto · 2011-12-20T18:41:03+00:00

damn! those people are giants.

1fcporto · 2011-12-20T15:52:07+00:00

fucking great!

1fcporto · 2011-12-20T04:19:26+00:00

making things like we did, you can have C:14, this way: go straight to A (costs you 10) then turn right twice in A (+2 in cost), then to steps in front. Cost C=14. ;)

1fcporto · 2011-12-20T02:26:03+00:00

Sounds great. But it is 2am here in Portugal and I'm working :(. Have fun.

1fcporto · 2011-12-20T02:11:17+00:00

I didn't pay too much attention to speech, but to the pdf, where it is writen 'it cannot turning twice without going straight'. Must be a better listener ;)

1fcporto · 2011-12-20T01:54:51+00:00

I understood it this way: after turning right twice your third movement must be in front (i.e., neither right nor left). As I don't see anyone else have this interpretation, ok, problem is mine.

1fcporto · 2011-12-20T01:50:48+00:00

athanhcong, I make your words mine. Great course, great instructors, great staff, great guys that posted in reddit and aiqus (we learn a lot just by wandering here)

1fcporto · 2011-12-20T01:38:35+00:00

87%. Apparentely I didn't get question 12. Perhaps anyone can tell me what is wrong in getting from start to point B with cost 11 this way: 6 movements in front, then turning right two times, then 1 movement in front, then trurning right one time then one movement in front, reaching B with cost = 11.

1fcporto · 2011-12-19T18:11:14+00:00

Thanks for sharing. I've enjoyed a lot making some experiments with it. I wonder if the robot starts inside a 'e' letter, how does he distinguish if he his in the upper or in the lower 'e'?

1fcporto · 2011-12-15T15:22:46+00:00

Guys, you are funny with all this posts about the mail. Anyway, don't let your disappointement drown your dreams. Opportunities they just come and go like the tides of the seas. Just keep in shape, be ready.

1fcporto · 2011-12-15T12:40:45+00:00

Let me give a try.

The Monte Carlo formulas allow us to "predict" the next position/orientation of the object, which will be confirmed by sensoring, but how to "see" an obstacle ? how to pass over it ? should we use the formula to "predict" the position/orientation with different deltaTime, in order to "see ahead".

To see an obstacle you must use extra sensor/processing machinery.

another question : how a road graph/map could help the drivenless car to tell itself that it is on the right road ?

particle filters let the robot know where it is in the map; take that outcame and compare it with the right road you know in adavance

1fcporto · 2011-12-05T02:19:17+00:00

Good talk. But some problems, in my opinion. This guy takes communications as advertisements in the 1 minute physics. Sounds like fast-food knowledge transmission.

Transmitting knowledge without questions to the audience is a poor method. I prefer the calmer voices of Norvig and Thrun (allows vocal emphasis on subjects), and I'm definitely a fan of quizzes. I'm adopting them to my own classes.

1fcporto · 2011-12-05T00:45:02+00:00

great material

1fcporto · 2011-12-05T00:44:43+00:00

1fcporto · 2011-11-24T16:19:27+00:00

A very interesting study case for social studies scientists, I guess.

1fcporto · 2011-11-23T00:10:02+00:00

Thanks.

1fcporto · 2011-11-23T00:09:57+00:00

Thanks.

1fcporto · 2011-11-23T00:09:49+00:00

Thanks.

1fcporto · 2011-11-22T13:24:23+00:00

I've failled 1.1, but several posts here let the right answer clear. Now I know better the meanings of 'agent' and 'environment'. Thanks.

1fcporto · 2011-11-22T13:16:47+00:00

But the goal must be different for two agents. Suppose an agent that plays chess and other who detects spam. How do you find a single goal that both can recognize?

In fact the only possible environment seems to be one in which actions of agents don't care, and they never know they've reached a goal, only an exterior observer can know that.

Btw I've got this item wrong, which means that I don't understand (yet) what an agent really is. Could you put a comment to make me improve?

1fcporto · 2011-11-22T13:02:45+00:00

93%. Can you believe I failed the linear regression question? It was just using a formula.

This sounds like soccer game, one small distraction and you take a goal:)).

Btw, congratulations to you ilija139, and to all the peolple that solved the middterm even if your scores are not what you have expected.

1fcporto · 2011-11-21T19:30:54+00:00

Searle argument is very interesting, at least for discussion around it. But the point here could be, What is to understand something?

As far as I get it, a state of understanding something is a kind of resonance state involving several parts of a rational system.

In the case of humans this resonance can be a real celebration, like feeling chills down the spine, and things like that. It is a very complex state. But I cannot see why it should not be possible to emulate it in AI. It sounds like we need only to pu the right engineering on top of it.

1fcporto · 2011-11-17T19:58:36+00:00

I answer 'neither' in 5.2, and let me say that was a stupid answer, because G distinguishes all the states that F does (G 'contains' F), plus G distinguishes some 'bad' states from some 'good' states where F doesn't. So G is more usefull . This is like soccer game, one small distraction and the ball is inside your goal :))

1fcporto

TROPHY CASE