The fact is, the parts of ourselves which we call "self aware" are only a small fraction of the entire mind. They work by building simulated worlds of their own — worlds which are greatly simplified, in comparison with either the real world outside, or with the immense computer systems inside the brain: systems which no one can pretend, today, to understand. And our worlds of simulated awareness are worlds of simple magic, wherein each and every imagined object is invested with meanings and purposes. Consider how one can but scarcely see a hammer except as something to hammer with, or see a ball except as something to throw and catch. Why are we so constrained to perceive things, not as they are, but as they can be used? Because the highest levels of our minds are goal-directed problem-solvers. That is to say that all the machines inside our heads evolved, originally, to meet various built-in or acquired needs, for comfort and nutrition, for defense and for reproduction. Later, over the past few million years, we evolved even more powerful sub-machines which, in ways we don't yet understand, seem to correlate and analyze to discover which kinds of actions cause which sorts of effects; in a word, to discover what we call knowledge. And though we often like to think that knowledge is abstract, and that our search for it is pure and good in itself — still, we ultimately use it for its ability to tell us what to do to gain whichever ends we seek (even when we conclude that in order to do that, we may first need to gain yet more and more knowledge). Thus, because, as we say, "knowledge is power", our knowledge itself is enmeshed in those webs of ways we reach our goals. And that's the key: it isn't any use for us to know, unless our knowledge tells us what to do. This is so wrought into the conscious mind's machinery that it seems too obvious to state: no knowledge is of any use unless we have a use for it.
Now we come to see the point of consciousness: it is the part of the mind most specialized for knowing how to use the other systems which lie hidden in the mind. But it is not a specialist in knowing how those systems actually work, inside themselves. Thus, as we said, one walks without much sense of how it's done. It's only when those systems start to fail to work well that consciousness becomes engaged with small details. That way, a person who has sustained an injured leg may start, for the first time, consciously to make theories about how walking works: To turn to the left, I'll have to push myself that way — and then one has to figure out, with what? It is often only when we're forced to face an unusually hard problem that we become more reflective, and try to understand more about how the rest of the mind ordinarily solves problems; at such times one finds oneself saying such things as, "Now I must get organized. Why can't I concentrate on the important questions and not get distracted by those other inessential details?"
It is mainly at such moments — the times when we get into trouble — that we come closer than usual to comprehending how our minds work, by engaging the little knowledge we have about those mechanisms, in order to alter or repair them. It is paradoxical that these are just the times when we say we are "confused", because it is very intelligent to know so much about oneself that one can say that — in contrast merely to being confused and not even knowing it. Still, we disparage and dislike awareness of confusion, not realizing what a high degree of self-representation it must involve. Perhaps that only means that consciousness is getting out of its depth, and isn't really suited to knowing that much about how things work. In any case, even our most "conscious" attempts at self-inspection still remain confined mainly to the pragmatic, magic world of symbol-signs, for no human being seems ever to have succeeded in using self-analysis to find out very much about the programs working underneath.
So this is the irony of True Names. Though Vinge tells the tale as though it were a science-fiction fantasy — it is in fact a realistic portrait of our own, real-life predicament! I say again that we work our minds in the same unknowing ways we drive our cars and our bodies, as the players of those futuristic games control and guide what happens in their great machines: by using symbols, spells and images — as well as secret, private names. The parts of us which we call "consciousness" sit, as it were, in front of cognitive computer-terminals, trying to steer and guide the great unknown engines of the mind, not by understanding how those mechanisms work, but simply by selecting names from menu-lists of symbols which appear, from time to time, upon our mental screen-displays.
But really, when one thinks of it, it scarcely could be otherwise! Consider what would happen if our minds indeed could really see inside themselves. What could possibly be worse than to be presented with a clear view of the trillion-wire networks of our nerve-cell connections? Our scientists have peered at fragments of those structures for years with powerful microscopes, yet failed to come up with comprehensive theories of what those networks do and how. How much more devastating it would be to have to see it all at once!
What about the claims of mystical thinkers that there are other, better ways to see the mind. One recommended way is learning how to train the conscious mind to stop its usual sorts of thoughts and then attempt (by holding very still) to see and hear the fine details of mental life. Would that be any different, or better, than seeing them through instruments? Perhaps — except that it doesn't face the fundamental problem of how to understand a complicated thing! For, if we suspend our usual ways of thinking, we'll be bereft of all the parts of mind already trained to interpret complicated phenomena. Anyway, even if one could observe and detect the signals which emerge from other, normally inaccessible portions of the mind, these probably would make no sense to the systems involved with consciousness, because they represent unusually low level details. To see why this is so, let's return once more to understanding such simple things as how we walk.
Suppose that, when you walk about, you were indeed able to see and hear the signals in your spinal cord and lower brain. Would you be able to make any sense of them? Perhaps, but not easily. Indeed, it is easy to do such experiments, using simple bio-feedback devices to make those signals audible and visible; the result is that one may indeed more quickly learn to perform a new skill, such as better using an injured limb. However, just as before, this does not appear to work through gaining a conscious understanding of how those circuits work; instead the experience is very much like business as usual; we gain control by acquiring just one more form of semi-conscious symbol-magic. Presumably, what happens is that a new control system is assembled somewhere in the nervous system, and interfaced with superficial signals we can know about. However, bio-feedback does not appear to provide any different insights into how learning works than do our ordinary, built-in senses. In any case, our locomotion-scientists have been tapping such signals for decades, using electronic instruments. Using those data, they have been able to develop various partial theories about the kinds of interactions and regulation-systems which are involved.
However, these theories have not emerged from relaxed meditation about, or passive observation of those complicated biological signals; what little we have learned has come from deliberate and intense exploitation of the accumulated discoveries of three centuries of our scientists' and mathematicians' study of analytical mechanics and a century of newer theories about servo-control engineering. It is generally true in science that just observing things carefully rarely leads to new "insights" and understandings. One must first have at least the glimmerings of the form of a new theory, or of a novel way to describe: one needs a "new idea". For the "causes" and the "purposes" of what we observe are not themselves things that can be observed; to represent them, we need some other mental source to invent new magic tokens.
But where do we get the new ideas we need? For any single individual, of course, most concepts come from the societies and cultures that one grows up in. As for the rest of our ideas, the ones we "get" all by ourselves, these, too, come from societies — but, now, the ones inside our individual minds. For, a human mind is not in any real sense a single entity, nor does a brain have a single, central way to work. Brains do not secrete thought the way livers secrete b
ile; a brain consists of a huge assembly of sub-machines which each do different kinds of jobs — each useful to some other parts. For example, we use distinct sections of the brain for hearing the sounds of words, as opposed to recognizing other kinds of natural sounds or musical pitches. There is even solid evidence that there is a special part of the brain which is specialized for seeing and recognizing faces, as opposed to visual perception of other, ordinary things. I suspect that there are, inside the cranium, perhaps as many as a hundred kinds of computers, each with its own somewhat different architecture; these have been accumulating over the past four hundred million years of our evolution. They are wired together into a great multi-resource network of specialists, which each knows how to call on certain other specialists to get things done which serve its purposes. And each of these sub-brains uses its own styles of programming and its own forms of representations; there is no standard, universal language-code.
Accordingly, if one part of that Society of Mind were to inquire about another part, this probably would not work because they have such different languages and architectures. How could they understand one another, with so little in common? Communication is difficult enough between two different human tongues. But the signals used by the different portions of the human mind are even less likely to be even remotely as similar as two human dialects with sometimes-corresponding roots. More likely, they are simply too different to communicate at all — except through symbols which initiate their use.
Now, one might ask, " Then, how do people doing different jobs communicate, when they have different backgrounds, thoughts, and purposes? " The answer is that this problem is easier, because a person knows so much more than do the smaller fragments of that person's mind. And, besides, we all are raised in similar ways, and this provides a solid base of common knowledge. Even so, we overestimate how well we actually communicate. The many jobs that people do may seem different on the surface, but they are all very much the same, to the extent that they all have a common base in what we like to call "common sense" — that is, the knowledge shared by all of us. This means that we do not really need to tell each other as much as we suppose. Often, when we "explain" something, we scarcely explain anything new at all; instead, we merely show some examples of what we mean, and some non-examples; these indicate to the listener how to link up various structures already known. In short, we often just tell "which" instead of "how".
Consider how hard we find it to explain so many seemingly simple things. We can't say how to balance on a bicycle, or distinguish a picture from a real thing, or, even how to fetch a fact from memory. Again, one might complain, It isn't fair to expect us to be able to put in words such things as seeing or balancing or remembering. Those are things we learned before we even learned to speak! But, though that criticism is fair in some respects, it also illustrates how hard communication must be for all the subparts of the mind which never learned to talk at all — and these are most of what we are. The idea of "meaning" itself is really a matter of size and scale: it only makes sense to ask what something means in a system which is large enough to have many meanings. In very small systems, the idea of something having a meaning becomes as vacuous as saying that a brick is a very small house.
Now it is easy enough to say that the mind is a society, but that idea by itself is useless unless we can say more about how it is organized. If all those specialized parts were equally competitive, there would be only anarchy, and the more we learned, the less we'd be able to do. So there must be some kind of administration, perhaps organized roughly in hierarchies, like the divisions and subdivisions of an industry or of a human political society. What would those levels do? In all the large societies we know which work efficiently, the lower levels exercise the more specialized working skills, while the higher levels are concerned with longer-range plans and goals. And this is another fundamental reason why it is so hard to translate between our conscious and unconscious thoughts! The kinds of terms and symbols we use on the conscious level are primarily for expressing our goals and plans for using what we believe we can do — while the workings of those lower level resources are represented in unknown languages of process and mechanism. So when our conscious probes try to descend into the myriads of smaller and smaller sub-machines which make the mind, they encounter alien representations, used for increasingly specialized purposes.
The trouble is, these tiny inner "languages" soon become incomprehensible, for a reason which is sun-pie and inescapable. This is not the same as the familiar difficulty of translating between two different human languages; we understand the nature of that problem: it is that human languages are so huge and rich that it is hard to narrow meanings down: we call that "ambiguity". But, when we try to understand the tiny languages at the lowest levels of the mind, we have the opposite problem — because the smaller be two languages, the harder it will be to translate between them, not because there are too many meanings but too few. The fewer things two systems do, the less likely that something one of them can do will correspond to anything at all the other one can do . And then, no translation is possible. Why is this worse than when there is much ambiguity? Because, although that problem seems very hard, still, even when a problem seems hopelessly complicated, there always can be hope. But, when a problem is hopelessly simple, there can't be any hope at all!
Now, finally, let's return to the question of how much a simulated life inside a world inside a machine could be like our ordinary, real life, "out here"? My answer, as you know by now, is that it could be very much the same — since we, ourselves, as we've seen, already exist as processes imprisoned in machines inside machines. Our mental worlds are already filled with wondrous, magical, symbol-signs, which add to everything we "see" a meaning and significance.
All educated people already know how different is our mental world from the "real world" our scientists know. For, consider the table in your dining room; your conscious mind sees it as having a familiar function, form, and purpose: a table is "a thing to put things on". However, our science tells us that this is only in the mind; all that's "really there" is a society of countless molecules; the table seems to hold its shape, only because some of those molecules are constrained to vibrate near one another, because of certain properties of the force-fields which keep them from pursuing independent paths. Similarly, when you hear a spoken word, your mind attributes sense and meaning to that sound whereas, in physics, the word is merely a fluctuating pressure on your ear, caused by the collisions of myriads of molecules of air — that is, of particles whose distances, this time are less constrained.
And so — let's face it now, once and for all: each one of us already has experienced what it is like to be simulated by a computer!
"Ridiculous," most people say, at first: "I certainly don't feel like a machine!"
But what makes us so sure of that? How could one claim to know how something feels, until one has experienced it? Consider that either you are a machine or you're not. Then, if, as you say, you aren't a machine, you are scarcely in any position of authority to say how it feels to be a machine.
"Very well, but, surely then, if I were a machine, then at least I would be in a position to know that!"
No. That is only an innocently grandiose presumption, which amounts to claiming that, "I think, therefore I know how thinking works." But as we've seen, there are so many levels of machinery between our conscious thoughts and how they're made that saying such a thing is as absurd as to say, "I drive, therefore I know how engines work!"
"Still, even if the brain is a kind of computer, you must admit that its scale is unimaginably large. A human brain contains many billions of brain cells — and, probably, each cell is extremely complicated by itself. Then, each cell is interlinked in complicated ways to thousands or millions of other cells. You can use the word "machine" for that but, surely, no one could ever build anything of that magnitude!"
I am entirely sympathetic with the spirit of this objection. When
one is compared to a machine, one feels belittled, as though one is being regarded as trivial. And, indeed, such a comparison in truly insulting — so long as the name "machine" still carries the same meaning it had in times gone by. For thousands of years, we have used such words to arouse images of pulleys, levers, locomotives, typewriters, and other simple sorts of things; similarly, in modern times, the word "computer" has evoked thoughts about adding and subtracting digits, and storing them unchanged in tiny so-called "memories".
However those words no longer serve our new purposes, to describe machines that think like us; for such uses, those old terms have become false names for what we want to say. Just as "house" may stand for either more, or nothing more, than wood and stone, our minds may be described as nothing more, and, yet far more, then just machines.
As to the question of scale itself, those objections are almost wholly out-of-date. They made sense in 1950, before any computer could store even a mere million bits. They still made sense in 1960, when a million bits costs a million dollars. But, today, that same amount of money costs but a hundred dollars (and our governments have even made the dollars smaller, too) — and there already exist computers with billions of bits.
The only thing missing is most of the knowledge we'll need to make such machines intelligent. Indeed, as you might guess from all this, the focus of research in Artificial Intelligence should be to find good ways, as Vinge's fantasy suggests, to connect structures with functions through the use of symbols. When, if ever, will that get done? Never say "Never".
True Names Page 11
