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Norvig vs. Chomsky and the Fight for the Future of AI

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Re: Norvig vs. Chomsky and the Fight for the Future of AI

#51

I spent about ten years working on Markov based chat programs. I gave up on themwhen I realized that no matter how sophisticated your statistical model it will never be more than a statistical analysis of text, unless it includes some rich rule based model of mental processes and mental objects. It may be that such a model of mental processes must itself be fuzzy and probabilistic, but it must exist. Therefore I come…

Just because you chose Markov chains as your modeling mechanism doesn't mean that there is no statistical modeling method that is capable of developing something passing for what we'd call "meaning".

This is the same argument that was used against artificial neural networks. Neural network of type A can't do X, therefore neural networks will never do Y.

Language is immensely complex, and real human language involves things which are not encoded in text (and i'd remind you that you were trying to infer meaning from text specifically, not the full multi-channel robustness of humans communicating), we don't even have a full handle on what all of the cognitive processes and factors are that go into the production and understanding of language (although we've developed a lot of interesting work to those ends).

So hearing folks give up claim that Chomsky is correct because our current tools aren't up to the job is a bit puzzling, because we don't even have a complete understanding of what sort of thing language is or what sorts of things we are as systems which can use language.

Chomsky has opinions (and some facts) about what language is, and we are, but he does not have solid proof to confirm his specific conjectures. Is human language context free? context sensitive? Something else? (Chomsky's minimalist program uses movement along a tree to preserve referentiality and a bunch of junk, alternative syntactic frameworks such as HPSG uses directed graphs as the basis of their language modeling. Still others do weirder things like higher order combinatoric logics. And unfortunately none of the theoretical frameworks appear to be without their drawbacks)

Re: Norvig vs. Chomsky and the Fight for the Future of AI

#52
post #47

Earlier quoted context omitted.

"Pinker explains that a universal grammar represents specific structures in the human brain that recognize the general rules of other humans' speech, such as whether the local language places adjectives before or after nouns, and begin a specialized and very rapid learning process not explainable as reasoning from first principles or pure logic. This learning machinery exists only during a specific critical period of…

However, unlike his arguments I limited myself to using actual facts. If you just want a compelling argument: Biology is a vary important component in the creation and evolution of language, because the fine motor control required to say "linguistic" vs "mommy" or "stop" has a lot to do with how languages are learned and evolve. As baby's practice how to say thing babble converts to simple words but in doing so there…

Look, if you haven't read the book, I'm not interested in your opinions of his arguments; you don't know them. When someone recommends a book, you don't kill the messenger when your disagreement is with the author; don't be an ass.

Re: Norvig vs. Chomsky and the Fight for the Future of AI

#53
post #28
post #13

Earlier quoted context omitted.

Children are definitely not a 'blank' neural network. They spend ~6 months staring off into nowhere, looking, listening, and slowly developing the skills to respond to their environment.

A newborn baby will recoil away from a dark circle growing larger on a screen. Where did he learn to associate a growing share with an object approaching near enough to collide? We have certain built in behaviors and reflexes.

This strikes me as the old nature vs. nurture debate - trying to determine which human behaviors are hard wired and which are learned. Like most complex questions I don't think there is a single right answer, but my current theory is that humans have more hard wired behavior than most people like to admit. It is precisely because of our language skills that we can rationalize behavior that has it's root cause in the more animal regions of the brain.

To put it another way - most people think they are rational. Most people act irrationally. To me it is animal instinct that is cause of greed, war, social hierarchy, etc. and it is so ingrained in society that we don't question it's root cause which most likely boils down to atavistic tendencies.

Re: Norvig vs. Chomsky and the Fight for the Future of AI

#56
I've been in machine learning/AI for ten years now - from undergraduate research, to graduate school, to industry - and I find debate like this fascinating. My take on it is that our understanding of what we will be able to do in the future is very unclear, and what we will want to do is very open-ended. So the debate is worth having, but it won't really resolve anything.

Statistical models may (in my opinion probably will) end up being an "AI" dead-end, eventually falling into other fields such as algorithms, like game trees and logic-based agents did. That's not to say the current statistical approach is a bad idea; on the contrary, I think these techniques are useful and simple enough that they will become fairly ubiquitous in CS.

On the Chomsky side of the argument, AI researchers have consistently been frustrated in the past 50 years, to the point that studying AI today makes you sound like a joke. But their goal is a noble one. Anyone can understand how great it would be to have a human-level intelligence on a chip - this would fundamentally change the World. The fact that we haven't dented this problem doesn't mean the problem isn't worth solving, it just means our understanding of what it takes to build this kind of AI is in its infancy.

I almost feel like Norvig and Chomsky are arguing in parallel. They are both right, but their arguments are valid on different time scales. Today, the Norvig approach will easily win out; Chomsky has nothing and is largely irrelevant. But Chomsky is, IMO, correctly predicting what will need to happen to move beyond an eventual roadblock in a much grander AI.

Re: Norvig vs. Chomsky and the Fight for the Future of AI

#57
post #47

Earlier quoted context omitted.

However, unlike his arguments I limited myself to using actual facts. If you just want a compelling argument: Biology is a vary important component in the creation and evolution of language, because the fine motor control required to say "linguistic" vs "mommy" or "stop" has a lot to do with how languages are learned and evolve. As baby's practice how to say thing babble converts to simple words but in doing so there…

Look, if you haven't read the book, I'm not interested in your opinions of his arguments; you don't know them. When someone recommends a book, you don't kill the messenger when your disagreement is with the author; don't be an ass.

I have read most of the language instinct. I get why people find it compelling, but that has little to do with being accurate. My point was his style tends to be convincing vs. his actual evidence being compelling.

PS: Think of it like this A -> B, B -> C therefore A -> C is all well in good most of the time. A -> B .... Y -> Z therefore A -> Z only really works with math, build a chain that long and it's unlikely for all those steps to be accurate.

Re: Norvig vs. Chomsky and the Fight for the Future of AI

#58
post #2

They have two different definitions of "artificial intelligence," which is where the schism seems to be arising from. Chomsky takes the academic approach - artificial intelligence is the simulation of humanlike (or even possibly mammalian) intelligence. Norvig is taking the engineering approach - artificial intelligence needs only to pass the Turing test. They're both right, both approaches have value, and they both…

This is exactly my take on it. They are talking about AI in different contexts, and therefore aren't really arguing with each other as much as past each other. Anyone who has any interesting in building something today would take a Norvig approach, and anyone who pictures AI 100 years from now should hope that the Chomsky approach eventually won out.

Re: Norvig vs. Chomsky and the Fight for the Future of AI

#59
post #24

This is one of those rare moments in intellectual life where being in the room and now seeing the debate develop, it becomes clear that the resulting hype isn't (wasn't) loud enough. This distinction marks the real turning point in AI from abstract, grand claims with highly restrictive evidence toward engineering that simply works. Who cares about the ontology when we can recreate? It's like saying airplanes don't pr…

> It's clear that Chomsky and Universal Syntax has held back the entire field of AI

That may be true, but there is value to understanding language for the sake of language outside the practical goals of improving AI. There is plenty of evidence for parameters playing a role in human language whether or not a parametric implementation of NLP is possible, desirable or necessary. It's certainly true that a statistical approach that bears plenty of fruit in AI applications is going to be very strained to provide anything of value back to linguistics or developmental psychology.

Re: Norvig vs. Chomsky and the Fight for the Future of AI

#60
post #48

Isn't this basically an argument over John Searle's Chinese Room thought experiment? It supposes that there is a program that gives a computer the ability to carry on an intelligent conversation in written Chinese. If the program is given to someone who speaks only English to execute the instructions of the program by hand, then in theory, the English speaker would also be able to carry on a conversation in written C…

Is a robot capable of running? Let's say you had one, then take his legs and give them to an amputee. The amputee can operate the legs by pressing a button. However, pressing a button is not running. Similarly, the robot would not really be running either.

>However, pressing a button is not running.

No True Scotsman here, which I'm assuming that you're implying exists in Searle's argument. But that puts you in a position of saying that the English speaking operator of the Chinese room understands Chinese because he responds in a convincing way to Chinese speakers, which is pretty explicitly false.

It also relies on the concept of "running" being monolithic instead of constructed. Under a part of most people's concepts of running lie things that a running robot does, other parts of the concept for some people involve particular types of clothing, and/or nipple chafe cream. I would think that most people would think of what the amputee does with the robot legs as running, yet they wouldn't want him in the Olympics.

Is Searle's room, or the assemblage of Searle's room and its operator, intelligent? Whether you can answer that question easily depends on which part of the concept of intelligence is important to you in that context. Is the designer and implementor of Searle's room intelligent? Unambiguously. Are the assemblage and the designer intelligent in exactly the same way?

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