at the time there was still a school of artificial
intelligence that assumed that a big computer running a
really sophisticated program could be equivalent to a
human mind
We're talking theory, so imagine we have extremely powerful hardware, gobs of memory, understand the brain really well, and have some sort of extremely high-resolution scanning device. We could build an "emulator" that would simulate the brain's "hardware" and then load a scan of someone's brain onto it as "software". The system as a whole is just a big computer running a sophisticated program but it's equivalent to a human mind. This mind running on a computer would have the same strengths and
weaknesses as the mind had when running on a biological brain when it comes to determining the truth values of propositions in arithmetic (and everywhere else).Currently, yes. But I don't see that this is necessarily true. Why do you think it is?
These two statements seem to contradict, unless you grant that the mind either fudges the proof or constructs new axioms such that the proof can be valid. Why do you assume a program can never do this?
Really? I don't see what reason we have to believe that this is true.
Do you have an example of this? I have an extremely difficult time comprehending it. Also, I was under the impression that there weren't necessarily propositions that are not algorithmically possible to reach, but rather, there are always propositions a given algorithm cannot solve.
I just meant undecidable propositions.
> Do you have an example
Maybe check out the conclusion on p.76 of this book[1] by Penrose (and the argument supporting it that begins on p.72.): "Human mathematicians are not using a knowably sound algorithm in order to ascertain mathematical truth".
His example is our knowledge that a certain computation will not halt, and the impossibility of constructing an algorithm that can prove that fact.
More flippantly, you know that you can examine the soundness of your own reasoning, but no algorithm can reach conclusions about its own correctness.