[bschne]

I'm not up to date on the relevant research, but isn't most learned or innate intuition just a set of fuzzy rules based on observation (be it visual or other sensory perception; or pre-defined behaviour in the case of innate intuition)?

If I play tennis for a while, I will get better at predicting where the ball will go after my opponent hits it merely because I have seen many combinations of shots and subsequent ball trajectories.

I think it would be weird to not call it an intuition just because it was learned by a deep neural net in this case.

[YeGoblynQueenne]

In my experience, in the context of artificial and human intelligence, any statement of the form "X is just Y" or, equivalently, "Isn't X just Y" is neither sound nor complete and X and Y are not well defined.

In your example, for instance- I have no idea what are "fuzzy rules" and how they apply to tennis playing, or how they relate to predicting the position of the ball etc.

[x3ro]

So in summary you are saying they used "intuition" wrongly, while subsequently saying that it's really hard to say what intuition is objectively, and when someone pointed out that their understanding of intuition does at least partially match what is insinuated in the paper you continue saying "yeah but when talking about AI all of this is really complicated, please be more concrete"

I really have no idea what this is adding to the discussion, except for talking down to the authors which, in your opinion, have misused a word that you yourself find hard to define..

Edit: typo

[YeGoblynQueenne]

What I said was that it's pointless to use terms like "intuition" or "fuzzy rules" that are not well defined.

That's because then anyone can claim anything they like in relation with those terms, and nobody learns anything form the discussion, which is a complete waste of time.

[bschne]

Let's try, then.

My understanding of "intuition" is having some subjective feeling of knowledge about aspects of a situation or being able to predict what is likely to happen in the near future automatically, i.e. without consciously trying to work it out. At first glance this seems to match with common dictionary definitions of what intuition is.

What I meant by "fuzzy rules" as applied to predicting where the ball will go after my tennis opponent hit it was that I do not measure exact speeds, angles, etc. and then deliberately calculate an expected trajectory, but I see roughly where the ball is coming from, how fast and at what angle my opponent is hitting it and where it starts to go. From this, after enough practice, I have a "feeling", i.e. an intuition, about where it will roughly end up hitting the court on my side again. This merely serves as an example.

What I am trying to get at is that as far as my knowledge goes, a lot of what we humans call "intuition" in our own behaviour by any widely agreed upon definition is just the same as what a trained AI is doing - applying a heuristic learned over time to make a decision based on an input.

No, just because the trained AI can play a game well does not mean it will outdo humans at any task. But a lot of human behavior is not that exceptionally special either, I think.

[YeGoblynQueenne]

Thanks for clarifying.

I don't know that "a trained AI" is "applying a heuristic", like you say. Usually, "a trained AI" refers to a machine learning model, which is an approximation of some function. A heuristic is not the same as an approximation. A heuristic is a shortcut, or a rule of thumb, that is often guaranteed to work under certain conditions but not others. An approximation is a function that is correct up to some margin of error with respect to some other, true function.

Heuristics are more common in hand-crafted systems, rather than machine learning systems. For example, the A* algorithm is a search algorithm that uses a heuristic to estimate the cost of a path to agoal.

In short, no, I don't think you're right to say that "trained AI" is applying a heuristic, etc.

As to whether what us humans do is applying heuristics- well, maybe. It's plausible, but how can we know for sure before we actually, well, know for sure? We don't yet understand human intelligence.

Edit: Actually, it's obvious that many things we learn to do are not heuristics. For example, learning a foreign language as an adult (with instruction). First you painstakingly learn the rules and then at some point you can use the language without explicitly thinking about the rules. Did you suddendly develop a heuristic to replace the rules you learned with such effort, or did something else happen?

>> No, just because the trained AI can play a game well does not mean it will outdo humans at any task. But a lot of human behavior is not that exceptionally special either, I think.

That's a strange thing to say. Yeah, what we do is pretty exceptional. Otherwise we'd have been able to reproduce it with our machines. And even if AI like AlphaZero or the Quake agents in the article can outperform humans- it doesn't mean that they're doing what humans are doing.

For example- a calculator is better than me at arithmetic. However, we know how a calculator calculates and it's not how I, or most other humans, calculate.