Mastering Stratego, the classic game of imperfect information

Re:Mastering Stratego, the classic game of imperfect informa... by runarberg on Thursday December 01, 2022 @05:48PM (#33824079)

There was a time when I thought that maybe there was something more to AI then a fancy statistical model when you need to fit non-linear data. But I’m solidly on the belief now that AI is precisely a very powerful statistical tool. I honestly think there was never any real strategy of getting AI to anything more then specialized learning for deeper inference using a lot of computational power.

Don’t get me wrong, using AI for that purpose is pretty amazing (but can also lead to some sketchy results if you don’t know what you are doing[1]) but pretending it will lead to some “general AI” is nothing but hype IMO. And teaching AI to play these board games better then a grandmaster only serves to increase that hype.

1: https://www.vox.com/recode/2019/8/15/20806384/social-media-h...

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Re:Mastering Stratego, the classic game of imperfect informa... by pbronez on Thursday December 01, 2022 @05:54PM (#33824167)

I’m not an AGI fanboy. I agree that the current line of inquiry (ie deep learning) won’t get us there. I think neurosymbolic reasoning is needed. That work is still nascent, and worse, we don’t have great ways to connect our current paradigm to it.

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Re:Mastering Stratego, the classic game of imperfect informa... by runarberg on Thursday December 01, 2022 @06:44PM (#33824763)

Now thinking about it, is there any need for an AGI model? Is this a classic case of a (magic) solution looking for a problem?

There are for sure use cases for inference models in generalized (or rather ill-understood; or even highly dynamic) non-linear systems, and deep learning models kind of ace at that—given enough training data and a lot of computational power. However I’m not really sure what we will use AGI for.

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