Steve Richfield wrote:

"I have a headache. I missed my morning coffee."
From this, Dr. Eliza will see a present-tense headache, a present-tense negated (presumed consumption) of coffee. A link definition would look for a headache and no present-tense coffee, and past-tense coffee. What it presently lacks is seeing that this also implies that the writer usually drinks coffee in the morning, which is VERY important. Seeing no (apparent) mention of usual coffee consumption, Dr. Eliza would then ask something like "How much coffee do you usually drink on an average day?" in the hopes that you would provide this (redundant) information to improve its computation of probability. Note here that the apparent primary meaning of this sentence - the linking of a headache to missing morning coffee, was properly DISCARDED because there was nothing useful that could be done with this opinion of causality on the part of the user. What I fail to see is how fully "understanding" the written/spoken word is of any use to any computer program! What would you then do with that understanding, since most of it will be beyond the ability of any computer program to do anything useful and accurate with?

If you are saying that people have tried and failed to come up with good methods for extracting the meaning of sentences such as "I have a headache - I missed my morning coffee", then you would, of course be correct.

But the whole point of doing research in Artificial General Intelligence (as opposed to narrow-AI) is because we want to go beyond past failures and reach a point where we can indeed build systems that can fully understand sentences such as the coffee-headache one. Some of us have explicitly made a priority of trying to understand how this kind of understanding happens, and some even believe that they re making progress on the problem.

In light of that, I cannot make any sense of your last paragraph, above. If you mean this literally [!] then I am at a loss for words. Perhaps you mean something else by it.




Richard Loosemore

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