Marcus Hutter

And I looked it up.

So it is a Catalan language.

And it means with some interpretation, that's it.

That's the right thing to do.

Yeah, Eureka.

And similar, there's a Chinese word, Aixi, also written like Aixi, if you transcribe it to Pinyin.

And the final one is that it's AI.

crossed with induction because that is, and it's going more to the content now.

So good old fashioned AI is more about, you know, planning and known deterministic world.

And induction is more about often, you know, IID data and inferring models.

And essentially what this ICSI model does is combining these two.

Yeah.

So it consists essentially of two parts.

One is the learning process.

and induction and prediction part, and the other one is the planning part.

So let's come first to the learning induction prediction part, which essentially I explained already before.

So what we need for any agent

to act well is that it can somehow predict what happens.

I mean, if you have no idea what your actions do, how can you decide which actions are good or not?

So you need to have some model of what your actions affect.