There seems to be a sort of universal confusion between "computer", digital
computer", "stored program computer", et al.

My very first computer program composed rock and roll melodies on a
Borroughs E-101. It was a plugboard programmed electromechanical digital
computer with no stored program.

It WAS a computer, though not the sort that most folks here are used to
dealing with.

Steve
On Wed, Jun 26, 2019, 4:19 PM Colin Hales <[email protected]> wrote:

> Hi Steve,
>
> I am aware of a huge variety of analogue simulators used back in the day.
> My favourites are usually associated with the old-school cyberneticists.
> Not the one you mentioned. Never mind, it's moot.
>
> I've just posted to the 'test' thread, where you'll find more clarity on
> the meaning of the word 'computer', in contrast to the word 'computation'.
>
> The word computer, as you know, originally referred to a human. Now the
> word refers to (mostly) von-neumann  architecture chips used to automate
> the exploration of abstract symbolic models. Analogue computers are still
> an exploration of a model of a brain, not the physics of a brain's
> computation being itself (not a model of a brain, but a brain).
>
> That is what I use the word for. The brain is not von-neumann
> architecture. Not a computer. More generally, it refers to a Turing machine.
>
> Brains perform computations  using brain physics for the purposes of
> implementing an adaptive control system for a the creature containing it.
>
> It's the difference between the functional capabilities that is the
> question. That is, the context under which a brain, and a computed (on a
> Turing machine) model of a brain, are literally indistinguishable.
>
> Is the space of all computation by a brain identical to, or a superset of,
> or only a partly overlapping with the space of all computation by a Turing
> machine?
>
> I am not saying they are not actually equivalent in some context (of the
> model of the brain).
>
> What I am saying is the obvious: If all you ever do is use computers (as I
> define it), then you are testing for assumed truth of the equivalence
> (computer physics vs brain physics). You are  not doing that part of the
> science of the proof-of-equivalence that tests for falsehood: where and how
> the two part company.
>
> That's the science done in the ? part of the diagram in the other thread.
>
> Cheers
> Colin
>
>
>
>
>
>
>
>
>
> On Thu., 27 Jun. 2019, 3:28 am Steve Richfield, <[email protected]>
> wrote:
>
>> Colin,
>>
>> You are apparently unaware of the varied history of analog computers,
>> that include things like electrolytic computers that operated in small
>> tanks of conductive liquid. These were used to design motors and
>> transformers using the similarity of electric fields to magnetic fields.
>>
>> Also, the hand-crank mechanical tide computer now in a case at NOAA
>> headquarters, that saw more than a century of usefull full time service.
>>
>> Like one man's terrorist is another man's freedom fighter, a computer is
>> anything that usefully computes, REGARDLESS of the intent or perception of
>> others.
>>
>> By this standard, a brain clearly IS a computer. What argument can there
>> be that it is NOT a computer?
>>
>> Steve
>>
>> On Tue, Jun 25, 2019, 5:23 PM Colin Hales <[email protected]> wrote:
>>
>>>
>>>
>>> On Wed., 26 Jun. 2019, 4:25 am Steve Richfield, <
>>> [email protected]> wrote:
>>>
>>>> Stefan,
>>>>
>>>> I probably have more neuroscience background than anyone else on this
>>>> list, possibly excepting Colin, having worked as a research assistant in
>>>> the Department of Neurological Surgery at the University of Washington, so
>>>> I suggest caution when challenging me in that venue.
>>>>
>>>> I might also be the only one on this list who has actually held a job
>>>> as a mathematician at a university department (University of Washington
>>>> Physics and Astronomy Department). You appear to be clueless in this venue,
>>>> at least as it intersects with neuroscience.
>>>>
>>>> My long-term goal is to fuse mathematics, neuroscience, and computer
>>>> science into a single effort leading to AGI and beyond.
>>>>
>>>> Please excuse my talking down to this audience - in my possibly
>>>> hopeless efforts to guide this fusion.
>>>>
>>>> My main impediment seems to be the few talented people in each of those
>>>> disciplines who ignorantly dismiss the value of those in the other
>>>> disciplines.
>>>>
>>>> People like you, who see things that obviously are part of the function
>>>> of neurosystems, but can't (yet?) grok their mathematical significance, so
>>>> they can apply this understanding to their programming.
>>>>
>>>> There are others like you in the other disciplines - like Colin, who
>>>> immediately dismissed the prospect of ANY sort of mathematics operating in
>>>> neurons, etc
>>>>
>>>
>>> Hi Steve,
>>>
>>> Can I issue my own millionth ARGHHH!!?? and a word of clarification.
>>> There's a great big crack of misaligned meaning into which your perspective
>>> on my position has fallen.
>>>
>>> The brain's signalling is 100% computation. Agreed. Right there with
>>> everyone.
>>>
>>> What I am saying is that it's NOT A COMPUTER. Sorry to shout. But this
>>> keeps being missed. The confusion... Is of (a) natural signalling physics
>>> doing computation with (b) (the physics of) a computer exploring the
>>> numerical/symbolic properties of a mathematical abstraction of the natural
>>> computation.
>>>
>>> Both are mathematical activities.
>>>
>>> I do not deny the presence of mathematics at all!
>>>
>>> What I question is the unproved HYPOTHESIS (sometimes called 'substrate
>>> independence', it has various names), that (a) and (b) are or can be
>>> functionally indistinguishable.
>>>
>>> Neither do I deny that potential equivalence!
>>>
>>> What I vehemently demand is that if anyone claims the (a)/(b)
>>> equivalence hypothesis is proved, they are wrong. This is because the
>>> correct science that tests the equivalence has not started.
>>>
>>> Why? Because if it had started we'd be comparing what computers do with
>>> what an inorganic version of the brain's signalling physics does. It
>>> involves a real test for potential disparity between (a) and (b) .... That
>>> the hypothesis is false. Instead of the universal assumption of the
>>> equivalence, and confinement to the use of computers.
>>>
>>> The science process that examines potential falsehood of (a)/(b)
>>> equivalence is the appropriate form of the empirical science involving an
>>> artificial version of brain-physics-as-computation, has never been
>>> attempted or even proposed.
>>>
>>> You may strongly believe that (a) and (b) are equivalent. You may be
>>> deeply unable to see how (a) and (b) could possibly not be equivalent.
>>>
>>> These are just opinions and have no place in science. Neither of these
>>> is an argument that they are/are not equivalent.
>>>
>>> If you want to prove it: DO THE EMPIRICAL SCIENCE CORRECTLY
>>>
>>> I have a design for a chip that does the exact kind of computation
>>> performed by brain's, done with the same physics. It's not a computer.
>>> Someone else could have their own chip design.
>>>
>>> Have I made myself clear? I'm not saying computers can or cannot do
>>> anything. I am saying that in the context of the brain, the equivalence of
>>> brain-based computation and a computed model of what the brain does is
>>> being inappropriately assumed true without any scientific proof of the kind
>>> demanded in every other science of a natural phenomenon.
>>>
>>> I hope a have made the state of affairs clear: the science is all messed
>>> up. It's gone on way too long.
>>>
>>> The catch phrase?
>>>
>>> "Brains? Yep, they are 100% computation and 100% not a computer"
>>>
>>> If you can get the difference, it will transform AGI and out it back on
>>> the right path after 65 years of (perhaps justified, but clearly now past
>>> its use-by) deformity.
>>>
>>> Cheers
>>> Colin
>>>
>>>
>>>
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