Daniel_Burfoot comments on Let's reimplement EURISKO! - Less Wrong

19 Post author: cousin_it 11 June 2009 04:28PM

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Comment author: pjeby 11 June 2009 09:45:57PM *  5 points [-]

Hm, the abstract for that paper mentions that:

a close coupling of representation syntax and semantics is neccessary for a discovery program to prosper in a given domain

This is a really interesting point; it seems related to the idea that to be an expert in something, you need a vocabulary close to the domain in question.

It also immediately raises the question of what the expert vocabulary of vocabulary formation/acquisition is, i.e. the domain of learning.

Comment author: Daniel_Burfoot 12 June 2009 02:24:50PM *  0 points [-]

This is a really interesting point; it seems related to the idea that to be an expert in something, you need a vocabulary close to the domain in question.

I'm not so sure about this. I am pretty good at understanding visual reality, and I have some words to describe various objects, but my vocabulary is nowhere near as rich as my understanding is (of course, I'm only claiming to be an average member of a race of fantastically powerful interpreters of visual reality).

Let me give you an example. Say you had two pictures of faces of two different people, but the people look alike and the pictures were taken under similar conditions. Now a blind person, who happens to be a Matlab hacker, asks you to explain how you know the pictures are of different people, presumably by making reference to the pixel statistics of certain image regions (which the blind person can verify with Matlab). Is your face recognition vocabulary up to this challenge?

Comment author: Cyan 12 June 2009 02:58:26PM 5 points [-]

I think "vocabulary" in this sense refers to the vocabulary of the bits doing the actual processing. Humans don't have access to the "vocabulary" of their fusiform gyruses, only the result of its computations.