Hi all,
This seems to have touched a point of interest. I'll try and address all the issues raised in one post. I hope I don't miss any of them. Please remind me if I have. Apologies if I don;t reference the originator of the query explicitly. You know who you are!

Re 'defining terms'.
1) Yes: Theres pages and pages of background information not in the posts. It is the result of thousands of hours of reading and analysis. Without it the readership is not 'calibrated' properly and the dialogue is bound to have its problems. The reader has only been exposed to about 1/50th of the total work, so please don;t assume that any of the terms are poorly defined. They are only.poorly defined here and so far,

1a) Here's the basics of the term "visual scene". This is long proven empirical physiology. I already said: it is the occipital lobe deliverable. Very specific neurons, well known, highly documented, are responsible. Officially no-one knows 'how'/'why' visual experience results happens. The official position only declared what does it. "Visual Scene" = that construct that is replaced by a roughly hemispherical gloom/blackness when you close your eyes. It is highly localised to specific neuron populations (occipital V4 does colour, for example) and has been studied for decades. Everyone who studies cognition should be aware of this empirical knowledge. I do not need to specify it further or justify it. The evidence speaks for itself. An entire empirical science paradigm call the 'neural correlates of consciousness' has been set up specifically to isolate the neural basis. All experiential fields are the same. They are all cranial central nervous system deliverables. This means audition, haptic, olfaction, gustation, vision, situational and primordial emotions and all internal imagined versions of these (including the visual imagery in the post by JLM). My argument deals only with the visual scene.

1b) So, in answer to another comment from one of the posts: "visual scene", specifically: "I assume you mean the original image impressed on your retina". No, I do not mean this. The molecular machinations of the entire peripheral nervous system, including the 'peripherals' of the central nervous system..... are 100% empirically proven for 100 years to be experientially inert. You do not see with your eyes. Vision occurs in the occipital. Please read the literature. Peripheral sensory transduction is not experienced. Central perceptual fields are projected to the periphery. This is physiology. EG. For the peripheral insult sensory transduction, the term nociception is used. PAIN, the experience, is added in the CNS and projected (often rather badly) to the site of origin. There is an entire collection of nomenclature established by physiology to enable descriptive specificity..I should not have to provide any more information along these lines. Please read the literature. There's lots of it. I can supply refs if you need them.

1c) Computationalism. = _abstract_ symbol manipulation. This is meant in specific contrast to the manipulation of _natural_ symbol manipulation. Analog computing is also COMP. This means that all computing based on the various calculii are COMP. It means that all machines using any sort of abstract mathematical or logical framework where the semantics of the symbols need extra documentation... are COMP. The basic defs:
See:
(i) Moor, J. 'The Dartmouth College Artificial Intelligence Conference: The next fifty years', Ai Magazine vol. 27, no. 4, 2006. 87-91. (ii) Beer, R. D. 'A Dynamical-Systems Perspective on Agent Environment Interaction', Artificial Intelligence vol. 72, no. 1-2, 1995. 173-215.

RE: The nature of the COMP = false as an argument.
2) I don't intend to formalise the argument any further here. I have given the precis. The two papers I mentioned are in review. One of them for 18 months already. Very painful. When they come out they can speak for themselves.

3) Please do not taint my words with any attributions in respect of being 'philosophical'. ;-) I love reading philosophy and have internalised truckloads....but this is irrelevant...When I say this is an empirical argument I mean it. All I do is aggregate well known (but hyper-cross-disciplinary) fact into one place. I follow the path of least resistance to what it says of the natural world. If the empirical evidence said anything else I'd say something else.

4) I'll say it again: this is an empirical argument... therefore: If you want to helpfully counter the argument then please deliver the novel evidence to the contrary that counters the evidence I give and explain why. Show references. Point to a history of facts. Then I can respond because i have encountered something I must account for which alters the implications of the evidence. If this cannot be done then the statements you make are empty beliefs and I can do nothing with them. I defer to real evidence. Nothing else. And I require that of all critique. I am absolutely STOKED if you can set me straight empirically. I relish it. I need it.

5) To be more blunt about it: I cannot respond to any empty meta-belief (belief about belief) such as "I find it unconvincing", "What if it doesn't/wont't/isn't?", "This seems wrong", "I find this implausible" and all manner of other such statements. If you can't deliver the evidence to the contrary then please don't say anything. Educate yourself in the empirical areas you find problematic and then come back and tell me exactly where I am wrong and why. A viable discussion will ensue..

RE: Motivation
6) The only reason I have made such an effort to complete the refutation of COMP (you have seen only 1 way, there are 3 others) is that despite being publicly established as merely "conjecture" (i) and a "theoretical claim" (ii), for 50 years it has continued to be entertained by computer science/AI projects as if it was a "law of nature". It has no proof. There is merely a "failure to refute". This situation has been part of the framework of justification (implicitly and explicitly by various research efforts) that real AGI might result from COMP principles. I am here to put that expectation to death once and for all: so that funds may be more cautiously directed and expectations be more wisely managed.

7) Another refutation of COMP"
Bringsjord, S. 'The Zombie Attack on the Computational Conception of Mind', Philosophy and Phenomenological Research vol. LIX, no. 1, 1999. 41-69

8) Another refutation of COMP comes by appropriately contextualising the 'No Free Lunch' Theorem(of machine learning) into a context of cognition during a scientific act. In that circumstance NFL applies to a refutation of COMP. Koppen, M., Wolpert, D. H. and Macready, W. G. 'Remarks on a recent paper on the ''No free lunch'' theorems', IEEE Transactions on Evolutionary Computation vol. 5, no. 3, 2001. 295-296. Wolpert, D. H. 'The lack of A priori distinctions between learning algorithms', Neural Computation vol. 8, no. 7, 1996. 1341-1390. Wolpert, D. H. 'The existence of A priori distinctions between learning algorithms', Neural Computation vol. 8, no. 7, 1996. 1391-1420.

RE: Wider implications
7) In line with (6), I need draw no further connection to a solution to the problem of consciousness generally. The claim of the COMP argument is very specific. It merely tells us that a turing machine cannot 'compute' a scientist in an authentic act of original science using visual observation of the novel distal natural world. On generalisation the important implication is that the term "simulated scientist" is an oxymoron. A logical impossibility.

8) Other connections to the physics and role of consciousness in cognition and intelligent behaviour generally, whilst very interesting and much more important, are not part of this COMP discussion.

9) There is a more fundamental issue which I have also not included thus far which I think may be important here..."INVERSE or ILL-DEFINED PROBLEMS". The expectation that source reconstruction from a remote data-slice can occur is fatally and a-priori discountable. To be rather more practical about it...I am involved in an EEG/Epilepsy group. The explanation of the origins of EEG (a surface field structure) is literally identical to the problem of explanation of the originator of retinal photon impact. Science knows that the former is an ill-defined problem and does not claim to have acquired the solution. It knows that the models are metaphors and cannot claim any further veridicality. Indeed it regards the problem as extreme and unresolved. How is it that anyone can assume that vision, an even harder and structurally identical inverse problem, is somehow possible with only the retinal impact? Please read Nunez for the appropriate background: Nunez, P. L. and Srinivasan, R., Electric fields of the brain : the neurophysics of EEG, 2nd ed., Oxford University Press, Oxford, New York, 2006

I am realising that I may have a contribution to make to AGI by helping strengthen its science base. I've run out of Sunday, so I'd like to leave the discussion there... to be continued sometime.

Meanwhile I'd encourage everyone to get used to the idea that to be involved in AGI is to _not_ be involved in purely COMP principles. Purely COMP = traditional domain-bound AI. It will produce very good results in specific problem areas and will be fragile and inflexible when encountering novelty. AI will remain a perfectly valid target for very exciting COMP based solutions. However those solutions will never be AGI. Continuation with purely COMP approach is a strategically fatal flaw which will result in a club, not a scientific discipline. This is of great concern to me. Please sit back and let this realisation wash over you. It's what I had to do. I used to think in COMP terms too. And have fun! This is supposed to be fun!

cheers
Colin Hales

Ben Goertzel wrote:

The argument seems wrong to me intuitively, but I'm hard-put to argue against it because the terms are so unclearly defined ... for instance I don't really know what you mean by a "visual scene" ...

I can understand that to create a form of this argument worthy of being carefully debated, would be a lot more work than writing this summary email you've given.

So, I agree with your judgment not to try to extensively debate the argument in its current sketchily presented form.

If you do choose to present it carefully at some point, I encourage you to begin by carefully defining all the terms involved ... otherwise it's really not possible to counter-argue in a useful way ...

thx
ben g

On Sat, Oct 4, 2008 at 12:31 AM, Colin Hales <[EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>> wrote:

    Hi Mike,
    I can give the highly abridged flow of the argument:

    !) It refutes COMP , where COMP = Turing machine-style abstract
    symbol manipulation. In particular the 'digital computer' as we
    know it.
    2) The refutation happens in one highly specific circumstance. In
    being false in that circumstance it is false as a general claim.
    3) The circumstances:  If COMP is true then it should be able to
    implement an artificial scientist with the following faculties:
      (a) scientific behaviour (goal-delivery of a 'law of nature', an
    abstraction BEHIND the appearances of the distal natural world,
    not merely the report of what is there),
      (b) scientific observation based on the visual scene,
      (c) scientific behaviour in an encounter with radical novelty.
    (This is what humans do)

    The argument's empirical knowledge is:
    1) The visual scene is visual phenomenal consciousness. A highly
    specified occipital lobe deliverable.
    2) In the context of a scientific act, scientific evidence is
    'contents of phenomenal consciousness'. You can't do science
    without it. In the context of this scientific act, visual
    P-consciousness and scientific evidence are identities.
    P-consciousness is necessary but on its own is not sufficient.
    Extra behaviours are needed, but these are a secondary
    consideration here.

    NOTE: Do not confuse "scientific observation"  with the
    "scientific measurement", which is a collection of causality
    located in the distal external natural world. (Scientific
    measurement is not the same thing as scientific evidence, in this
    context). The necessary feature of a visual scene is that it
    operate whilst faithfully inheriting the actual causality of the
    distal natural world. You cannot acquire a law of nature without
    this basic need being met.

    3) Basic physics says that it is impossible for a brain to create
    a visual scene using only the inputs acquired by the peripheral
    stimulus received at the retina. This is due to fundamentals of
    quantum degeneracy. Basically there are an infinite number of
    distal external worlds that can deliver the exact same photon
    impact. The transduction that occurs in the retinal rod/cones is
    entirely a result of protein isomerisation. All information about
    distal origins is irretievably gone. An impacting photon could
    have come across the room or across the galaxy. There is no
    information about origins in the transduced data in the retina.

    That established, you are then faced with a paradox:

    (i) (3) says a visual scene is impossible.
    (ii) Yet the brain makes one.
    (iii) To make the scene some kind of access to distal spatial
    relations must be acquired as input data in addition to that from
    the retina.
    (iv) There are only 2 places that can come from...
          (a) via matter (which we already have - retinal impact at
    the boundary that is the agent periphery)
          (b) via space (at the boundary of the matter of the brain
    with space, the biggest boundary by far).
    So, the conclusion is that the brain MUST acquire the necessary
    data via the spatial boundary route. You don't have to know how.
    You just have no other choice. There is no third party in there to
    add the necessary data and the distal world is unknown. There is
    literally nowhere else for the data to come from. Matter and Space
    exhaust the list of options. (There is alway magical intervention
    ... but I leave that to the space cadets.)

    That's probably the main novelty for the reader to  to encounter.
    But we are not done yet.

    Next empirical fact:
    (v) When  you create a turing-COMP substrate the interface with
    space is completely destroyed and replaced with the randomised
    machinations of the matter of the computer manipulating a model of
    the distal world. All actual relationships with the real distal
    external world are destroyed. In that circumstance the COMP
    substrate is implementing the science of an encounter with a
    model, not an encounter with the actual distal natural world.

    No amount of computation can make up for that loss, because you
    are in a circumstance of an intrinsically unknown distal natural
    world, (the novelty of an act of scientific observation).
    .
    => COMP is false.
    ======
    OK.  There are subtleties here.
    The refutation is, in effect, a result of saying you can't do it
    (replace a scientist with a computer) because you can't simulate
    inputs. It is just the the nature of 'inputs' has been
    traditionally impoverished by assumption born merely of
    cross-disciplinary blindness.. Not enough quantum mechanics or
    electrodynamics is done by those exposed to 'COMP' principles.

    This result, at first appearance, says "you can't simulate a
    scientist". But you can! If you already know what is out there in
    the natural world then you can simulate a scientific act. But you
    don't - by definition  - you are doing science to find out! So
    it's not that you can't simulate a scientist, it is just that in
    order to do it you already have to know everything, so you don't
    want to ... it's useless. So the words 'refutation of COMP by an
    attempted  COMP implementation of a scientist' have to be
    carefully contrasted with the words "you can't simulate a scientist".

    The self referential use of scientific behaviour as scientific
    evidence has cut logical swathes through all sorts of issues. COMP
    is only one of them. My AGI benchmark and design aim is "the
    artificial scientist".  Note also that this result does not imply
    that real AGI can only be organic like us. It means that real AGI
    must have new chips that fully capture all the inputs and make use
    of them to acquire knowledge the way humans do. A separate matter
    altogether. COMP, as an AGI designer' option, is out of the picture.

    I think this just about covers the basics. The papers are dozens
    of pages. I can't condense it any more than this..I have debated
    this so much it's way past its use-by date. Most of the arguments
    go like this: "But you CAN!...". I am unable to defend such
    'arguments from under-informed-authority' ... I defer to the
    empirical reality of the situation and would prefer that it be
    left to justify itself. I did not make any of it up. I merely
    observed. . ...and so if you don't mind I'd rather leave the issue
    there.  ..

    regards,

    Colin Hales



    Mike Tintner wrote:

        Colin:

        1) Empirical refutation of computationalism...

        .. interesting because the implication is that if anyone
        doing AGI lifts their finger over a keyboard thinking they can be
        directly involved in programming anything to do with the eventual
        knowledge of the creature...they have already failed. I don't know
        whether the community has internalised this yet.

        Colin,

        I'm sure Ben is right, but I'd be interested to hear the
        essence of your empirical refutation. Please externalise it so
        we can internalise it :)



        -------------------------------------------
        agi
        Archives: https://www.listbox.com/member/archive/303/=now
        RSS Feed: https://www.listbox.com/member/archive/rss/303/
        Modify Your Subscription: https://www.listbox.com/member/?&;
        <https://www.listbox.com/member/?&;>
        Powered by Listbox: http://www.listbox.com



    -------------------------------------------
    agi
    Archives: https://www.listbox.com/member/archive/303/=now
    RSS Feed: https://www.listbox.com/member/archive/rss/303/
    Modify Your Subscription: https://www.listbox.com/member/?&;
    <https://www.listbox.com/member/?&;>
    Powered by Listbox: http://www.listbox.com




--
Ben Goertzel, PhD
CEO, Novamente LLC and Biomind LLC
Director of Research, SIAI
[EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>

"Nothing will ever be attempted if all possible objections must be first overcome " - Dr Samuel Johnson


------------------------------------------------------------------------
*agi* | Archives <https://www.listbox.com/member/archive/303/=now> <https://www.listbox.com/member/archive/rss/303/> | Modify <https://www.listbox.com/member/?&;> Your Subscription [Powered by Listbox] <http://www.listbox.com>




-------------------------------------------
agi
Archives: https://www.listbox.com/member/archive/303/=now
RSS Feed: https://www.listbox.com/member/archive/rss/303/
Modify Your Subscription: 
https://www.listbox.com/member/?member_id=8660244&id_secret=114414975-3c8e69
Powered by Listbox: http://www.listbox.com

Reply via email to