It was very adversarial.

And finally, is it adversarial?

Solitaire games are not adversarial.

It makes it adversarial it's polarizing.

Finally, we distinguish benign versus adversarial environments.

Do they have an unknown environment? Are they adversarial?

There's the proponent and the opponent in an adversarial, dialectical argument.

Notice that many games are adversarial, but some games are not.

The game of poker is this partially observable, stochastic, continuous, or adversarial?

No opposition, no adversariality not necessarily any arguing in the adversarial sense.

Specifically, something like the DARPA Grand Challenge might be adversarial or not.

Then you can argue back and forth whether it's adversarial or not.

I wish to know whether it is partially observable, stochastic, continuous, or adversarial.

When I'm talking about arguments, that's probably what you thought of, the adversarial model.

In most cases we don't treat it as adversarial. We don't think about it.

But somethings about robotics is indeed adversarial and to some extent driving is as well.

If you think it's stochastic, check this one, continuous, check this one, adversarial, check this one.

The environment may be stochastic, yes or no, and it may be adversarial, yes or no?

I gave you 4 key attributes of intelligent agents (partial observability, stochasticity, continuous spaces, and adversarial natures),

Let me know if it's continuous, yes or no, and let me know if it's adversarial, yes or no.

So here are the 4 concepts again partially observable versus fully, stochastic versus deterministic, continuous versus discrete, adversarial versus benign.

Contrast this with adversarial environments, such as many games, like chess, where your opponent is really out there to get you.

What it does is it creates an adversarial relationship between civil society and government over the control and ownership of information.

It says while AI strategies for chess, a two player deterministic adversarial game, have been successful in beating professionals, no strategies can compete with strong amateurs in Go.

It is also discrete because there's finitely many action choices and finitely many board positions, and obviously, it is adversarial, since your opponent is out to get you.

You could mark that down as saying, well, I'm playing against the game itself, but we don't count that as adversarial, because the games itself is not trying to defeat you.

So most adversarial games, where you play against an opponent and the opponent is a computer program, the game agent is built to play against you against your own interests and make you lose.

I want to say no for now, but I'm going to accept both answers over here, so you can write whatever you want, because I don't want us to think about robotics as adversarial.

Whereas in these games and what adversarial has come to mean is that the opponent is taking into account what you are thinking when the opponent does their own thinking and tries to defeat you that way.

It turns out it's much harder to find good actions in adversarial environments where the opponent actively observes you and counteracts what you're trying to achieve relative to benign environment, where the environment might merely be stochastic but isn't really interested in making your life worse.