Everyone seems to "know" that computers are one-sided. If we had to characterize computers as either logical or intuitive, we would say, "logical." Do computers deal in information or understanding? Information. Are they impersonal or personal? Impersonal. Highly structured or unstructured? Structured. Quantitative or qualitative? Quantitative.
The problem is that we always seem to have a clear notion of the one side--the attributes we assign to the computer--while the other side remains suspiciously elusive despite representing our own "human dimension." What sort of personal understanding is intuitive, unstructured, and qualitative? Can we distinguish it precisely from impersonal information that is logical, structured, and quantitative?
But the question rings an alarm bell. It asks for a precise distinction, but precision itself seems to be one of the terms we are required to distinguish. After all, what do we mean by precision if not quantitative and logical exactness? If this is so, however, then we appear to be stuck: clearly, we cannot distinguish precisely between precision itself and something incommensurable with precision, any more than we can visually distinguish between sight and smell. All we can do is contrast the precise with the imprecise, which leaves us firmly rooted to the scale of precision. And yet, the widespread impression of computational one-sidedness suggests that we are at least dimly aware of "another side of the story." Can we lay hold of it?
The conviction that we can underlies every sentence of this book. The issues, however, are complex, and they confound virtually every debate about computer capabilities. When a problem haunts us in this way, we can be sure that we're up against a fundamental question of meaning--very likely one that our deeply ingrained cultural biases or blind spots prevent us from encompassing.
It so happens that Owen Barfield has spent some sixty-five years
circling and laying bare the particular biases at issue here. His
first, decisive insights applicable to the relation between computers
and human beings date from the late 1920s--although he was not then
writing, and so far as I know has not since written, about
computers. Unfortunately, I do not know of any others who have brought
his work to bear upon artificial intelligence and related disciplines.
My own effort here is a modest one: to suggest broadly and informally
where Barfield's work strikes most directly at current confusions.
We can, however, come to understand the computer's
limitations. Admittedly, this requires a considerable effort. The computer
brings to perfect completion the primary "drift" of our civilization
over the past few hundred years. To see the computer in perspective,
we need to get outside this drift--one might also say, to get outside
ourselves. Or, to use the language of chapter 11, "In Summary," we
must come to ourselves--experience an awakening of what is most
deeply human within us.
What is most deeply human is inseparable from meaning.
Unfortunately, the meaning of "meaning" is the most vexed issue in all
of artificial intelligence and cognitive science. In dealing with
meaning, we must come to terms with everything in the human being that
does not compute. That is why this chapter is primarily about
meaning. If you find yourself wondering along the way, "what does all
this have to do with the computer?" then I suppose the presentation
may be roughly on track. At the same time, I hope it is clear by the
end of our journey that meaning has a great deal to do with the
limitations of the computer.
The problem, of course, is that I am no master of meaning, able to
orchestrate its appearance in these pages. If society as a whole
suffers from its loss, so do I. But I, like many others, am also
aware of the loss, and the computer has been one of the primary
instruments of my awareness. By considering computation in the purest
sense, I have been able to begin grasping what a certain few--and in
particular Owen Barfield--have been telling us about the nature of
meaning.
Meaning, you might say, is what computation is not. But the two
are not simple opposites. They cannot be, for then they would stand
in a strictly logical--and therefore, computational--relationship, in
which case meaning would have been assimilated to computation. We can
hardly expect the principle that "balances" logic and computation to
be itself reducible to logic and computation.
But all that, unfortunately, is itself a highly abstract statement.
Let me substitute a metaphor: what I have attempted in this book is
to outline the hole I find in society and in myself, about
which I can say, "That's where meaning must lie. My meaninglessness
gives shape to a void. By entering with a proper sensitivity into the
meaninglessness, I can begin to sense the dark hollow it enfolds. And
in the darkness there begin to flicker the first, faint colors of
meaning."
Moreover, it turns out that the powers of computation, with which
so much of the world now resonates, shape themselves around the same
void. The meaninglessness of my experience is, in fact, the
meaninglessness of a computational bent manifesting within my consciousness,
in society, and--increasingly--in nature.
The computer therefore may give us a gift: the opportunity to
recognize meaning as the void at the computer's heart. And it
likewise presents us with a challenge: to overcome the void, or rather
fill it with our humanity.
In (1) accuracy is at a maximum. Assuming that both speaker and
hearer have previously agreed on the enemy's identity, the reference
here simply designates, without much ambiguity, "those same people."
And for the rest, the sentence does little more than specify a precise
location where those people may be found. It is a model of accuracy.
The second sentence raises questions of meaning in a more insistent
fashion than (1). If the majority's freedom to act as a
majority is itself a threat to freedom, then we need to sort out just what
we mean by "freedom." Freedom in what respect, and for whom?
Similarly, what is the sense of "worst"? Does it mean "most common"?
"Most powerful"? "Most vile"? And how does "determined"--usually
understood as a trait of individual psychology--apply to a collective?
Despite these questions, however, we pick up the rough sense of
this second assertion without too much difficulty, for the thought is
not altogether new to us, and we have learned what sorts of
qualifications we must give to each term in order to achieve a coherent
statement. Ask a group of educated people what the sentence means, and you
would expect at least a minimal cohesion in the responses, which is a
measure of our (by no means extreme) accuracy in communication when we
speak the sentence. So in (2) we have gained a certain richness of
suggestion, a certain fullness and complexity of meaning, but have
lost accuracy, compared to (1).
With (3) the interpretive difficulties have multiplied greatly,
throwing severe obstacles in the way of accurate communication. (This
is especially the case if you imagine this exhortation being voiced
for the first time within a given culture.) Isn't the definition of
"enemy" being rudely turned on its head? If I am to treat my enemy
like a loved one, what is the difference between the two, and what is
happening to language?
And yet, this very saying has been received by numerous people with
some degree of common understanding--although it is an
understanding that may only be born of a sudden and illuminating expansion
of commonly held, but inadequate, meanings. It is not that we simply
abandon the old meaning of "enemy"--we are not likely to forget the
sting of recently felt animosities, for example--but a new awareness
of possibility now impinges upon that old meaning, placing things in a
curious and intriguing light. Can it be that my enemies play a
necessary--a disciplinary or educative--role in my life? If I treat
an enemy as a friend, do I benefit myself as well as him? What will
become of the enmity in that case?
Although any group of people will likely generate various
explanations of the sentence (the potential for accuracy here is quite low),
some individuals, at least, will confess that they have found the
meaning to be both sublime and decisive for their lives. The
sublimity is purchased, it appears, at the expense of the ease with which we
can precisely communicate or explicate the thought.
The strong urge today, in other words, is to seek greater accuracy,
and we're not quite sure what other challenge exists. If we could
just devise a language free of all those ambiguities about "enemy,"
"freedom," "determined... then people could not so easily speak
vaguely or imprecisely. It seems all too obvious, therefore, that the
three sentences above reflect an increasing confusion of
meaning--a loss of accuracy--and we are likely to leave the matter
there.
But this will not do. In the first place, it encourages us to
dismiss as empty or shoddy much that is most noble and inspiring in
human culture. In the second place, it leaves unanswered the
question, What are we striving to be accurate about? For we already
have languages nearly purified of all ambiguity--the various
systems of symbolic logic and formal mathematics are just such
languages. And the reason they are free of ambiguity is that, by
themselves, they cannot be about anything. We can make them
about something only by destroying their perfect precision. To apply
mathematics, we must introduce some more or less unruly terms relating
to the world. But I am running ahead of myself. Allow me to
backtrack for a moment.
It is true that vagueness is the opposite of accuracy. But
opposites are not what we are looking for. What we need in order to find
a counterpoint to accuracy is, as Barfield shows, the relation of
polar contraries.** Think,
This points to what is, I believe, one of Barfield's critical
recognitions bearing on the computer's limitations: meaning (or
expressiveness) and accuracy are polar contraries. At the moment
I expect the statement to be more of a puzzle than a revelation.
Indeed, as the puzzlements I have already cited suggest, the ideas at
issue here prove extraordinarily elusive. I hope, however, at least
to hint at the life within this statement.
To begin with, then--and recalling the magnet's polarity--meaning
exists by virtue of accuracy, and accuracy exists by virtue
of meaning. We can neither be meaninglessly accurate nor
accurately meaningless in any absolute sense. That is, accurate
communication requires something meaningful to be accurate about, and
meaningful expression requires some minimal degree of accuracy, lest
nothing be effectively expressed. As Barfield puts it:
It is not much use having a perfect means of
communication if you have nothing to communicate except the relative positions
of bodies in space--or if you will never again have anything
new to communicate. In the same way it is not much use
expressing yourself very fully and perfectly indeed--if nobody can
understand a word you are saying.
One way to approach an understanding of polarity is to consider
what destroys it. If mathematics, taken in the strictest sense, looks
like a language of perfect accuracy, it is also a language devoid of
meaning.** But
One can also imagine falling out of the polarity in the other
direction. Of course, this is hardly the main risk in our day, but we
can picture such an outcome in a rough way by considering the poet or
seer who is struck dumb by his vision: overwhelmed by a sublime
understanding, he remains inarticulate, lacking the analytical means
to translate his revelation even into a poor verbal representation.
Here again, then, there is no effective use of language at all.
So far as we succeed in communicating, we remain within the complex
interpenetration of polarity, playing accuracy against meaning, but
allowing the absolute hegemony of neither. A fuller meaning
may be purchased at the expense of accuracy, and greater
accuracy may constrict meaning. But these are not mere
opposites. If they were, the one would occur simply at the
expense of the other. In a polarity, on the other hand, one pole
occurs by virtue of the other. An intensified north pole
implies an intensified south pole; a weakened north pole implies a
weakened south pole. The greatest minds are those capable of
maintaining the most exquisite polar tension, combining the deepest
insight (meaning) with the clearest analysis (accuracy).
It is important to see that falling altogether out of the polarity
into, say, number, typically occurs through a weakening of the
polarity. That is, although one may well emphasize the pole of
accuracy in moving toward mere number, that very one-sidedness, by
weakening the contrary pole, also weakens accuracy itself so far as accuracy
is viewed as part of the dynamic of communication. There is ever less
to be accurate about. The polarity fades into empty precision that
communicates no content.
In sum: when the polar tension is at its greatest--when both
accuracy and expressiveness are at their highest pitch (when the "magnet"
is strongest)--we have the deepest and most precisely articulated
meaning. This gives way, via inattention to one or the other pole, to
a loss of clearly articulated meaning. It may on some occasions be
necessary, therefore, to distinguish between the "empty precision"
that results when we abandon the polarity for number, and the
"accuracy" that, in cooperative tension with expressiveness, enables our
discursive grasp and communication of meaning.
"But what," you may be asking with increasing impatience,
"is meaning, anyway?" We will turn toward that pole shortly,
but only after looking in greater depth at the more familiar pole of
accuracy. You need to recognize, however, that all "what is"
questions in our culture are strongly biased toward the analytical. We
commonly say what something is by analyzing it into parts, which we
can then relate to each other by the precise laws of mathematics and
logic. This bias will hardly help us to understand the polar contrary
of analysis.
In slightly different words: it is difficult to be precise about
meaning for the simple reason that in meaning we have the polar
contrary of precision. The best way to begin the search for
meaning is by exercising your imagination against a blank--that is, by
trying to recognize the shape of what is missing in the polarity so
long as we recognize only accuracy. If a perfectly accurate language
cannot give us the world--or any content at all--then what can
give us the world? Here there is no possible theoretical answer. We
must begin to gain--or regain--the world in our own experience.
To say "Mary's father was killed in an automobile accident" is to
affirm something very different from "The light in the kitchen was on
last night." But suppose we say instead,
"It is true that Mary's father was killed in an automobile
accident."
"It is true that the light in the kitchen was on last night."
The purely logical affirmation--that is, the meaning of "it is true
that"--is exactly the same in both these sentences. It is indeed the
same in a potentially infinite number of sentences of the form,
It is true that ( . . . ),
where the expression in parentheses is an assertion of some sort.
What it means to say that something is true does not depend on
the parenthetic expression. So the bare assertion of the truth of
something is just about the most abstract statement we can make; it
abstracts the one common element from a huge number of descriptions of
radically different states of affairs. The logic of my assertion that
someone was killed is identical to the logic of my assertion that the
light was on. The very point of such assertions is to show "a
something" that the subordinate clauses have in common--something we can
abstract from them equally--despite almost every possible difference
of meaning otherwise. That abstract something we call truth (or
falsity, as the case may be).
We have seen that, given a pair of polar contraries, we cannot
perfectly isolate either pole. It is impossible to slice off such a tiny
sliver of the north end of a bar magnet that we end up with pure
northernness. We have either north and south interpenetrating each
other, or no magnet at all. We found a similar relation between
meaning and quantitative rigor, where mathematics represents the pursuit
of accuracy to the point where the polarity is destroyed, leaving
nothing about which to be accurate. And so it is also with
meaning and truth.
The attempt to conquer the pole of "pure truth" results in the loss
not only of meaning but of truth as well, for it makes no sense to
speak of truth without content. That is why logicians often speak of
the validity of a logical demonstration rather than its
truth. It is also why they use letters like p and
q to stand for sentences, or propositions. For the content of
a proposition does not enter into logical calculations; the only thing
that matters is that the propositions be either true or false
unambiguously. All true propositions--however diverse their apparent
meanings--have exactly the same meaning for the logician; so do all
false propositions. It was Wittgenstein who remarked, "All
propositions of logic mean the same thing, namely nothing."
Equating formal logic with mathematics, Bertrand Russell wrote:
Pure mathematics consists entirely of assertions to the
effect that, if such and such a proposition is true of
anything, then such and such another proposition is true of
that thing. It is essential not to discuss whether the first
proposition is really true, and not to mention what the anything is, of which
it is supposed to be true. Both these points would belong to applied
mathematics. We start, in pure mathematics, from certain rules of
inference, by which we can infer that if one proposition is
true, then so is some other proposition. These rules of inference
constitute the major part of the principles of formal logic. We then
take any hypothesis that seems amusing, and deduce its consequences.
If our hypothesis is about anything, and not about some
one or more particular things, then our deductions constitute
mathematics. Thus mathematics may be defined as the subject in which
we never know what we are talking about, nor whether what we are
saying is true.**
On the other hand, just so far as we apply our logic to the world
and thereby re-introduce content--substituting terms with real meaning
for our propositional p's and q's--we lose the logical
purity of our truth. If, for example, I say, "All men are mortal,"
you might ask about the definition of "man": what distinguishes man
from not-man in human evolution? Or, what distinguishes man from
machine? To clarify such questions I will be driven--so long as I am
seeking logical purity--to define my terms in an ever narrower way.
As one can already recognize in the sciences of biology and artificial
intelligence, the word "man" begins to disappear into abstract
technicality. Terms like "information," "algorithm," "genetic encoding,"
"organization," "replication," and "program" come to the fore.
This tendency is inevitable given the aforementioned quest for
logical purity. We have to begin qualifying ourselves in an effort to
eliminate ambiguity: this term is to be taken only in such-and-such a
respect, and that term in a different respect--and by the time we
regain absolute logical precision (if we ever do), we will
again have reduced the terms of our proposition to the purely abstract
p's and q's of the logician. We will have lost whatever
it was we started out to say. For the only statements that remain
unqualifiedly true regardless of how their terms are taken are
statements whose content has fallen out of the picture.
All concrete, meaningful content resists the absolutism and
universalism of logic.
Many are therefore content to dismiss the question of meaning
altogether, drawing sufficient satisfaction from their ability to fashion
contrivances that work. This willingness to be content with
things that work rather than with understanding is reminiscent of the
logician's commerce with validity rather than truth. It is the end
result of an effort to reduce the polarity to a single pole. A
precise, two-valued system ("it works" and "it doesn't work") replaces
the drive to penetrate phenomena with human consciousness and so to
understand.
We feel comfortable with precision and the abstraction it requires.
You might say they are our destiny. Something has led us quite
naturally down a path whereby our meanings have vanished into equations,
bottom lines, statistics, and computer programs. The causes of
that historical drift--whatever they are--have proven relentless and
all but irresistible. It should not surprise us, therefore, if our
effort to grasp hold of meaning in the following sections proves an
uphill struggle. Yet without such struggle we may eventually find our
consciousness constricted to a vanishing point. For the polarity
between meaning and accuracy is also--within the individual
consciousness--a polarity between fullness and clarity. And we run
the risk of becoming, finally, absolutely clear about nothing at all.
"Meaning is a philosophical word," she shrugs,
and then turns her attention to a leaky vacuum pump.**
I said "crazily" because, while it is certainly true that meaning
is not some new kind of thing, it is a prerequisite for there
to be any things at all. Every attempt to arrive at the things of our
world--or the things of our theories--starting from the "pure
northernness," the conceptual barrenness, of mathematical or logical
abstraction never gets as far as step one. We simply cannot
meaningfully speak except by starting with meaning.
Meaning cannot be defined without being assumed, for surely I
cannot define meaning with meaningless terms. And if I employ meaningful
terms in my definition, then I assume that you are already capable of
grasping meaning. Similarly, no one can define definition for someone
who doesn't already know what a definition is; nor can anyone
demonstrate the principles of logic without relying upon logic.
These "boundary problems" of cognition point us toward a crucial
consideration: something in cognition "stands on its own" and is
self-apparent. Ultimately, the only basis for knowing anything is
that it has become transparent, or obvious, and the only way to
discover what it is for something to be obvious is to experience its
obviousness "from the inside." One then begins to live within the
self-supported nature of thinking.
The alternative is to try to understand thinking in terms of the
various objects of thought--brain, computer, or whatever. But this
effort is futile, for the objects are only given by thinking, and
therefore presuppose what they are supposed to explain. "The seen is
not the cause of seeing, but the result of seeing."** We
=====================
**Footnote: Kuhlewind, 1984: 129.
=====================
cannot, as Barfield explains, even begin with ourselves as subjects
confronting a world of objects:
It is not justifiable, in constructing a theory of
knowledge, to take subjectivity as "given." Why? Because, if we
examine the thinking activity carefully, by subsequent reflection on
it, we shall find that in the act of thinking, or knowing, no
such distinction of consciousness exists. We are not conscious of
ourselves thinking about something, but simply of
something....Consequently, in thinking about thinking, if we are
determined to make no assumptions at the outset, we dare not start
with the distinction between self and not-self; for that distinction
actually disappears every time we think.**
That is, both subject and object are determinations given by
thinking. They presuppose thinking, which therefore cannot be classified
as either subjective or objective.
The first logicians had no rules of logic to go by, and yet they
teased out the logical principles inherent in the received system of
meanings. Clearly, they didn't do this by consciously applying the
very rules of logic they were trying to derive. Logic does not come
first in our knowing. And yet, logical structure is already implicit
within the purest of meanings. Our meanings are mutually articulated
with each other in a manner that is given by the meanings themselves,
and we can therefore begin to abstract from these meanings certain
empty, universal forms, or possibilities of articulation. These
possibilities are what we know as logic.
The grasp of meaning, then, precedes, and becomes the basis for,
the eventual elaboration of logic as such. We do not need the rules
of logic in order to apprehend meaning. Rather, apprehending meaning
with ever greater accuracy is what enables us to extract the rules of
logic. Thinking logically is what we find we have done when we have
successfully struggled to remain faithful to our meanings.
To be logical in a concrete sense (that is, within the polar
relationship) does not mean to act according to an abstract logical
calculus, but rather to preserve the coherence of my meanings--to put
those meanings on display without demeaning them by introducing
distortions. If I must invoke logic against an opponent in argument, it
is not to introduce some new understanding, but rather (as Barfield
notes) to bring him to his senses: he has somehow abandoned the
intrinsic necessities of his own meanings. He will recognize his
error only when he enters more consciously and with greater clarity
into those meanings.
To puzzle over the logical justification of logic, the definition
of definition, and the meaning of meaning is only to make clear the
boundaries of our normal way of thinking, which is governed by a
radical slide toward the pole of logic and abstraction. The only way
across those boundaries lies in overcoming one-sidedness, which in
turn requires not merely thinking about things, but
experiencing our own thinking--including its qualitative aspects. Not much in
our culture trains us to do this; we focus upon the "objects" given to
us by our thinking rather than upon the thinking itself--until,
finally, some are suggesting that thinking offers us nothing to
experience.
If we ever succeed in becoming perfect logic machines, there will
indeed be nothing left to experience.
Philosophers have sometimes claimed that sentences like the
following are tautologies:
But imagine you are a contemporary of Copernicus hearing for the
first time, "the earth is a planet." Not only is this no tautology,
it may well strike you as plainly false. For in all likelihood you
view the earth as a center around which both the fixed and wandering
stars revolve. You take for granted the fundamental difference in
quality between earthly and heavenly substance. The existing meanings
of your words do not allow the truth of what you have just heard.
And yet, the time may come when you do accept the statement
as true. If we look for the crucial moments separating your unbelief
from your belief, what do we see? Words changing their
meanings. Specifically, the meanings of both "earth" and "planet"
change dramatically. And not just these two words, but an entire
tapestry of meaning begins to shift its pattern and texture. We are
not dealing here with the sudden recognition of a new "fact," but
rather with the slowly evolving background against which all possible
facts take their shapes. (In considering the sentence "Love your
enemy" we saw a similar transformation of meaning.)
But, of course, this comparison could not immediately recast the
entire network of meanings bound up with "earth" and "planet."**
The differences between the medieval and the modern mind are
striking, to say the least. And the pathway from the one to the other is
paved with lies! We gain our new meanings by using words to state
falsehoods--but falsehoods that are suggestive, and through which we
are pointed to new possibilities of meaning. If Newton had not been
allowed to "misuse" gravitas, could modern physics have arisen?
For in his day the word meant something like the human experience of
heaviness--not some abstract principle of universal attraction--and it
was still tinged with a sense of "desire." There is a very great
difference between the idea of (to borrow Herbert Butterfield's words)
"a stone aspiring to reach its natural place at the center of the
universe--and rushing more fervently as it came nearer home--and the
idea of a stone accelerating its descent under the constant force of
gravity."**
Newton's use of gravitas to describe the force of
gravitation was metaphorical--untrue on its face; it made no more sense,
given the received meaning of gravitas, than we would
make today if we explained the moon's revolution as resulting from its
desire for the earth. And yet, as with many metaphors, it did
make sense when one looked through the false statements and,
with their essential aid, began to grasp the intended (new) meanings.
Assisted by falsehoods, one apprehended (perhaps dimly at first)
something not literally stated, thereby allowing the meanings of one's
terms to shift and realign themselves with this metaphorical intent.
These new meanings, once they are more fully laid hold of and
analyzed, enable the statement of truths that again tend toward the
literal and accurate (and therefore toward the tautological, the
uninteresting), since they no longer require so great a "misuse" of
language.
What we discover when we turn to the polar dynamic--the interaction
between accuracy and expressiveness during the actual use of
language--is this continual expansion and contraction of meaning.
When I use a new and revealing metaphor, for example, I force static
truths into motion, changing, by this "shift of truth," the meaning of
one or more of my terms. This meaning, however, is now less
explicitly displayed, less accessible--and will remain so until it is
penetrated and articulated with the aid of accurate analysis. When,
on the other hand, I analyze and clarify meaning, I narrow it down,
distinguish its facets, render it progressively literal and immobile
until (if I push the analysis far enough) it is lacking nearly all
content--a fit term for logical manipulation.
I do not think we can say that meaning, in itself, is
either true or untrue. All we can safely say is, that that quality
which makes some people say: "That is self-evident" or "that is
obviously true," and which makes others say: "That is a tautology," is
precisely the quality which meaning hasn't got.**
Meaning, then, is born of a kind of fiction, yet it is the content,
or raw material of truth. And it is important to realize that
other-saying--for example, symbol, metaphor, and allegory--is not a mere
curiosity in the history of language. As Barfield stresses on so many
occasions, virtually our entire language appears to have originated
with other-saying.
Anyone who cares to nose about for half an hour in an
etymological dictionary will at once be overwhelmed with [examples].
I don't mean out-of-the-way poetic words, I mean quite ordinary words
like love, behaviour, multiply, shrewdly and so on....To
instance two extreme cases, the words right and wrong
appear to go back to two words meaning respectively "stretched" and so
"straight," and "wringing" or "sour." And the same thing applies to
all our words for mental operations, conceiving, apprehending,
understanding....**
Nor do we gain much by appealing to the physical sciences for
exceptions. As Barfield elsewhere points out,**
The first thing we observe, when we look at language
historically, is that nearly all words appear to consist of fossilized
metaphors, or fossilized "other-saying" of some sort. This is a fact.
It is not a brilliant apercu of my own, nor is it an
interesting theory which is disputed or even discussed among etymologists. It
is the sort of thing they have for breakfast.**
In sum: when we look at language, we find it continually changing;
our discovery of facts and truths occurs only in creative tension with
an evolution of meanings that continually transforms the facts and
truths. Outside this tensive relation we have no facts, and we have
no truths; there is only the quest for a kind of disembodied validity
in which (to recall Russell's words) "we never know what we are
talking about, nor whether what we are saying is true"--or else the
dumbstruck quest for ineffable visions.
The emergence of meaning is always associated with what, from a
fixed and strictly logical standpoint, appears as untruth. And it is
just this meaning with which, as knowers, we embrace the world.
The imagination is at work, albeit in less than full consciousness,
when we dream. Dreams are full of other-saying--symbols, images that
signify this, but also that. "The dark figure was my
friend John, yet it was not really him." Then I wake up and
analyze the dream: the man, it seems, was a combination of my
friend John and someone I met at the store today who intrigued me--and
perhaps also he had something to do with a certain threatening figure
from past dreams....So whereas the dream itself presented a single,
multivalent image, I now have several definite, unambiguous figures,
standing side-by-side in my intellect. Analysis splits up meaning,
breaks apart unities: "this means that." Logic tells
us that a thing cannot be both A and not-A in the same respect and at
the same time; it wants to separate not-A from A. It wants to render
its terms clear and precise, each with a single, narrow meaning.
The arrangement and rearrangement of such univocal
terms in a series of propositions is the function of logic,
whose object is elucidation and the elimination of error. The
poetic** And again:
Logical judgements, by their nature, can only render
more explicit some one part of a truth already implicit in
their terms. But the poet makes the terms themselves. He does not
make judgements, therefore; he only makes them possible--and only he
makes them possible.**
The imagination creates new meaning by other-saying, but cannot
elucidate that meaning, cannot draw out its implications and delineate
its contours. Rational analysis brings us precision and clarity by
breaking the meaning into separate pieces, but progressively loses
thereby the content, the revelatory potency, of the original
image.
It is not that a metaphor or symbol holds together a number of
logically conflicting meanings. The man in the dream was not a logical
contradiction. He was who he was. One can experience and employ the
most pregnant symbolic images quite harmoniously. The contradictions
are artifacts of the analytical stance itself. They appear when we
are no longer content with the imaginative unity we once experienced,
but want to cleave it with the intellect, resolving it into
elements we can relate to already existing knowledge. It is only when
the unity is shattered by such analysis that the contradictions
between the parts appear. And analysis, once under way, wants to
proceed until there are no contradictions left--which finally occurs
when all meaning, all unities, have disappeared. So long as we have
meaning, we have a challenge for logical analysis, which is to say
that every imaginative unity stands ready to be broken apart by
analysis, immediately revealing contradictions between the now too
stiffly related fragments of the analysis.
In actual fact, we are likely to see innumerable partial movements
in both directions, and understanding is another name for the
resulting polar dynamic. The unanalyzed image may be a perfect unity, but
it is not "on display"--it is not available to our discursive mental
operations. By contrast, analysis hands over elements of the image to
the discursive intellect--sacrificing some of the given imaginal
significance in the process.
But today we too readily ignore that you can neither start
with the empty forms of logic in considering any issue, nor finish
off an issue with logic. An ironic misconception underlies the
frequently heard claim, "it is logically certain." If the matter is
indeed logically certain, then the speaker is no longer talking about
anything. For if what he says has any meaning at all, that meaning is
carried by other-saying--by imaginative unities not yet fully reduced
by logical analysis. The attempt to honor the pole of accuracy
over that of meaning does no more than guarantee us the shallowest
meanings possible.
It is said that any conclusion of an argument running counter to a
theorem of the logical calculus is wrong. Surely this is correct; but
it is not particularly helpful. The problem is knowing when a
conclusion really does violate the calculus. What about "the earth is a
planet," spoken by a contemporary of Copernicus? If we consider only
the then-received meanings of "earth" and "planet," there is indeed a
violation of the logical calculus. But the sentence also suggests
newly emergent meanings, not yet clearly understood. Which is the
real meaning?
If the logicians turn their attention to such a problem, they will
likely resolve it just when the new meanings have become so stable,
conventional, and thin that there is no longer a pressing issue
of logicality or truthfulness. By the time you have reduced your
subject to terms where the logical calculus can be applied mechanically
and with full confidence--externally, as it were, and not intrinsically in the struggle to be faithful to your meanings--by then the
subject itself is likely to have become so clear on its face as to
require no such application.
Further, that movement must be our own; its sole impetus can never
be received from without. While meaning is suggestible, it "can never
be conveyed from one person to another....Every individual must
intuit meaning for himself, and the function of the poetic is to
mediate such intuition by suitable suggestion."** What I can convey to
you
The manipulation of the products of analysis is in some respects a
mechanical task. The genesis of new meaning is altogether a different
matter, and its challenge is not often set before us today. In
listening to others, do I remain alert for those "strange connections"
suggesting meanings I have not yet grasped? Or am I readier to
analyze and tear down, based upon my armament of secure propositions
already in hand?
The effort to comprehend what we have heretofore been incapable of
seeing--rather than simply to extract the implications of our existing
knowledge--always requires the modification of one or more of our
terms: the creation of new meaning. Barfield quotes Francis Bacon:
For that knowledge which is new, and foreign from
opinions received, is to be delivered in another form than that that is
agreeable and familiar; and therefore Aristotle, when he thinks to tax
Democritus, doth in truth commend him, where he saith, If we shall
indeed dispute, and not follow after similitudes, etc. For those
whose conceits are seated in popular opinions, need only but to prove
or dispute; but those whose conceits are beyond popular opinions, have
a double labour: the one to make themselves conceived, and the other
to prove and demonstrate. So that it is of necessity with them to
have recourse to similitudes and translations to express themselves.**
In an age of abstract and logic-dominated learning, it is easy to
forget that all true advance of understanding requires us
imaginatively to conceive what is not currently conceivable--by means of
other-saying. Einstein's famous equations were not the cause of his
insights, but the result: he had first to become a poet, playing
metaphorically with the received, much too logically worn down and
well-defined notions of time and space, mass and energy. Lesser
scientists failed to gain the same insights because they already knew
too precisely. Their terms were rigorous and accurate. As Bacon put
it, they could only "prove or dispute" in terms of their existing,
systematized knowledge.
What I can do, however, is to offer some final, unsystematic
observations to stimulate further thought. These will tend toward the
aphoristic, and will partly serve to acknowledge just a few of the
issues prominent in Barfield's work. For an extended treatment of
these issues, however, I can only refer you to that work itself.
Meaning is whatever Barfield's History in English Words is
about. I suspect that for many people this semantic history
will oddly present itself as being about nothing much at all. But
when the oddity serves as a healthy question mark and a stimulus for
further exploration, one eventually enters a rich world of meanings
against which the imagination can be exercised. Likewise, all
sensitive exploration of foreign cultures leads to the appreciation of
strange meanings and, through this appreciation, to a refined sense
for meaning itself. Meaning is whatever the dictionary is not
about. I am only being slightly facetious. "The meaning of a word is
abstract, just in so far as it is definable. The definition of a
word, which we find in a Dictionary--inasmuch as it is not conveyed by
synonym and metaphor, or illustrated by quotation--is its most
abstract meaning."**
If we look at the polarity of language, it is immediately evident
that the attempt to define--the quest for a "dictionary definition"--
is driven almost wholly from the pole of accuracy, and therefore tends
to eliminate meaning. Meaning, you will recall, "is not a hard-and-
fast system of reference"; it is not definable, but only suggestible,
and requires the poetic for its suggestion. The strict dictionary
definition, by contrast, attempts to tie down, to eliminate any
ambiguity previously imported by the poetic. And just so far as such a
definition tries to be "scientific," it tends to suffer a steady
reduction until finally it knows only particles in motion. Qualities
disappear. The resulting, purely abstract term "is a mark
representing, not a thing or being, but the fact that identical
sensations have been experienced on two or more occasions." These
little billiard balls over here are the same as those over
there. Abstract thinking is, in the extreme, counting: we
count instances, but do not try to say instances of what. Here
is part of a dictionary definition for "water":
the liquid that...when pure consists of an oxide of
hydrogen in the proportion of 2 atoms of hydrogen to one atom of
oxygen and is an odorless, tasteless, very slightly compressible liquid
which appears bluish in thick layers, freezes at 0 degrees C, has a
maximum density at 4 degrees C and a high specific heat....
Now this serves very well to provide a certain kind of reference, a
pointer into a complex mesh of scientific abstractions, in which
"water" holds a definite place. What it does not do well at all is
give us the concrete meaning of the word in its actual usage--
that is, when the word is used outside the scientific textbook or
laboratory, or when it was used any time before the last few centu-
ries. It gives me little if any assistance in determining whether a
particular use of the word "water" in a poem, personal memoir, news
story, or qualitative scientific study makes any sense. It conveys
nothing of that water we enjoy while swimming, washing, drinking,
fishing, walking in the rain, or watching storm-driven waves. It
misses the wetness, gleam, undulation, deep stillness, engulfing
horror, wild power, musicality, and grace. It does not tell me anything
about my actual experience of water in the world.
All this, of course, will be admitted. But what will not so
readily be admitted is that these experiences contain a good deal of
what "water" really means, which is also to say: what it
actually is. Our difficulty with this thought, one might almost
say, is the defining characteristic--the crippling failure--of our
day. It is related to our insistence upon a world of objects bearing
absolutely no inner relation to the human being who observes them. As
the maker of meaning, imagination has received considerable attention
during this past century--although scarcely from the scientific side.
Barfield mentions three features of imagination concerning which there
has been a "considerable measure of agreement":**
As its name suggests, the imagination deals in images. Barfield
has this to say about images in general:
It is characteristic of images that they interpenetrate
one another. Indeed, more than half the art of poetry consists in
helping them to do so. That is just what the terms of logic, and the
notions we employ in logical or would-be logical thinking, must
not do. There, interpenetration becomes the slovenly
confusion of one determinate meaning with another determinate meaning,
and there, its proper name is not interpenetration, but
equivocation....**
But what about our abstract verb, "to cut"? It tries to be wholly
material by removing all the particular significances just referred
to; but how material is something that has become so abstract you
cannot even picture it? The pure act of cutting--as opposed to
particular, concrete acts bearing within themselves the interiority of the
actor--is no more material than a "tree" that is not some particular
tree. Words that we try to make exclusively material finally go the
same way as "things" in the hands of the particle physicist: they
vanish into abstraction. If we can't give concrete definitions,
neither can we define "concrete." The concrete brings us to meaning
itself, and to "the qualitative reality which definition automatically
excludes."
Barfield again:
If I were to bring the reader into my presence and
point to an actual lump of gold, without even opening my mouth and
uttering the word gold--then, this much at least could be said,
that he would have had from me nothing that was not concrete.
But that does not take us very far. For it does not follow that he
would possess anything but the most paltry and inchoate knowledge of
the whole reality--"gold." The depth of such knowledge would depend
entirely on how many he might by his own activity have intuited of the
innumerable concepts, which are as much a part of the reality as the
percepts or sense-data, and some of which he must already have made
his own before he could even observe what I am pointing to as an
"object" at all....Other concepts--already partially abstracted when I
name them--such as the gleaming, the hardness to the touch, the
resemblance to the light of the sun, its part in human history, as well as
those contained in the dictionary definition--all these may well
comprise a little, but still only a very little, more of the whole
meaning.**
The full meanings of words are flashing, iridescent
shapes like flames--ever-flickering vestiges of the slowly evolving
consciousness beneath them.**
Now by our definition of a "true metaphor," there
should be some older, undivided "meaning" from which all these
logically disconnected, but poetically connected ideas have sprung. And
in the beautiful myth of Demeter and Persephone we find precisely such
a meaning. In the myth of Demeter the ideas of waking and sleeping,
of summer and winter, of life and death, of mortality and immortality
are all lost in one pervasive meaning. This is why so many theories
are brought forward to account for the myths. The naturalist is right
when he connects the myth with the phenomena of nature, but wrong if
he deduces it solely from these. The psychoanalyst is right when he
connects the myth with "inner" (as we now call them) experiences, but
wrong if he deduces it solely from these. Mythology is the ghost of
concrete meaning. Connections between discrete phenomena, connections
which are now apprehended as metaphor, were once perceived as
immediate realities. As such the poet strives, by his own efforts, to see
them, and to make others see them, again.**
If we accept and enter into the living terms of the polarity, I
believe we will reach two conclusions: (1) there is no limit upon the
intelligence we can embed within computers, since there is no limit
upon how far the rational principle can proceed in its analysis of any
given meaning; and (2) since this intelligence is always a "dead" or
"emptied" intelligence--frozen out of the polar dynamic of meaning and
truth, and so rendered mechanical--it is essentially limited.
These contentions are not contradictory. When I say there is no
limit upon computer intelligence, I refer to the programmer's ability
to derive an ever more sophisticated syntax through her analysis of
meanings. Her next program can always appear more faithful to life
than the last. Just so far as we can take hold of a cognitive
activity or content and describe it, we will find that it submits to
analysis, yielding an internal, rational structure that can be pursued
indefinitely toward an ideal of perfect precision.
When, on the other hand, I say the computer is limited, I refer to
(1) its eternal inability to transcend meaningfully the fundamental
syntactic limits of its own program; and (2) its inability to possess
its meanings in the sense that humans do. In other words, you can't
take the nonpolar end products of (the programmer's) analysis, map
them to the computational structures of a computer, and expect them to
climb back into the polar dynamic from which they were extracted--any
more than you can reduce a conversation to a bare logical structure,
and then expect anyone to derive from that structure the concrete
substance of the original conversation.
These contentions will be disputed by many of those who are busy
constructing artificial intelligences. I will have more to say about
their concerns later. But for now I want to emphasize the unbounded
potential of the computer, which lies in its capacity to receive the
imprint of intelligence. And if the computer itself cannot ascend
from the "footstep" to the striding foot, it can nevertheless execute
the pattern of footsteps corresponding to a once-striding foot--
provided only that a programmer has sufficiently analyzed the striding
and imparted its pattern to the computer.
In other words, even if the computer is cut off from the polar
dynamic, the programmer is not, and so the computer's evolution toward
unbounded intelligence can proceed on the strength of the programmer's
continual effort to analyze meanings into rational end products.
Every claim that "the computer cannot do so-and-so" is met by the
effort--more or less successful--to analyze so-and-so into a set of
pure, formal structures.
It is important to understand just how far this can proceed.
Through proper analysis we can, if we choose, reduce every dimension
of human experience to a kind of frozen logic. This is true, as we
will see, even for learning and the grasp of metaphor. That is
why the rediscovery of meaning through our own powers of thinking and
imagining is so desperately crucial today: we may find, before long,
that we have imprisoned all meaning within an impotent reflection of
the real thing, from which there is no escape.
We can recognize these issues at work when philosopher John
Haugeland, in a standard introduction to artificial intelligence, finally
resorts to an imagined "existence proof" to help solve what he calls
the "mystery of original meaning." Suppose, he says, that a future
comes when intelligent computers
are ensconced in mobile and versatile bodies; and they
are capable (to all appearances anyway) of the full range of "human"
communication, problem solving, artistry, heroism, and what have you.
Just to make it vivid, imagine further that the human race has long
since died out and that the Earth is populated instead by billions of
these computer-robots. They build cities, conduct scientific
research, fight legal battles, write volumes, and, yes, a few odd ones
live in ivory towers and wonder how their "minds" differ from books--
or so it seems. One could, I suppose, cling harshly to the view that,
in principle, these systems are no different from calculators; that,
in the absence of people, their tokens, their treatises and songs,
mean exactly nothing. But that just seems perverse. If [artificially
intelligent] systems can be developed to such an extent, then, by all
means, they can have original meaning.**
But this is not quite right. We can, without apparent limit,
"instruct" robots in all these skills, but this, as I have tried to
show, does not even tend to imply that the robots possess
meaning in the same sense that humans do. It only implies that we can
analyze our meanings and impart their structure to a machine. Nor is
it "perverse" to point this out. The real question is whether the
futuristic robots would be bound by their syntax--excluded from the
polar dynamic--in a way that humans are not. That is, would they be
stuck where they were, excluded from all progress because
unable to take hold of those meanings the emptied traces of which
constituted their own logic?
What really seems to lie behind Haugeland's argument, however, is
the picture of a future in which we ourselves could not know any
significant difference between our machines and ourselves. In that case,
it would indeed be foolish to claim privileged status for human
thinking. But then, too, there would be a perfectly reasonable conclusion
that Haugeland ignores--not that the robots had somehow gained what he
calls "original meaning," but that we had lost it.
In some ways, yes--but not in the ways that count. The early work
in artificial intelligence was fixated upon logic. Somehow the
pioneers in the field had convinced themselves that formal logic was
the mind's distilled essence. So as soon as they realized that
computers could be programmed to exhibit complex logical structures,
euphoria set in. Did this not mean that machines could replicate
human minds? Alan Hodges describes how these early researchers
regarded physics and chemistry, including all the
arguments about quantum mechanics...as essentially irrelevant....The claim
was that whatever a brain did, it did by virtue of its structure as a
logical system, and not because it was inside a person's head, or
because it was a spongy tissue made up of a particular kind of
biological cell formation. And if this were so, then its logical structure
could just as well be represented in some other medium, embodied by
some other physical machinery.**
Given this outlook, the task was to reduce all knowledge to a
formal, logical structure that could then be impressed upon the
computer's circuits. There was no lack of bracing optimism: John
McCarthy, head of Stanford University's Artificial Intelligence
Laboratory, was sure that "the only reason we have not yet succeeded
in formalizing every aspect of the real world is that we have been
lacking a sufficiently powerful logical calculus. I am currently
working on that problem."**
More recent years have seen a considerable backlash against the
dominance of logic in artificial intelligence. This backlash is
associated with, among other things, the analysis of common sense and
background knowledge, the flourishing of connectionism, and the
investigation of human reasoning itself.
The faith of the initial generation [of cognitive
scientists] in a study of logical problems and its determined search
for rational thought processes may have been misguided. Empirical
work on reasoning over the past thirty years has severely challenged
the notion that human beings--even sophisticated ones--proceed in a
rational manner, let alone that they invoke some logical calculus in
their reasoning.**
But this statement easily misleads--in two ways. First, it is not
so much that human beings have been convicted of irrationality as that
cognitive scientists were betrayed by assumptions that flew
extraordinarily wide of the mark. Their faith convinced them that cognitive
behavior would be found on its surface to be nothing but the
perfectly well-behaved end products of logical analysis--as if human
beings started from a position of ideally structured (and
therefore meaningless) emptiness. As if, that is, the meanings with
which we operate were already so thoroughly worn down as to yield a
neat calculus of thinking or behavior after a single level of
analysis. We may be moving toward such emptiness, but,
thankfully, we are not there yet.
This mistaken expectation was so egregious as to beg for some sort
of explanation. At the very least, we can say that the misfiring was
clearly related to the disregard of meaning so characteristic of the
cognitive sciences. Researchers who could posit a mentality built up
of nothing but logical forms must have trained themselves over a
lifetime to ignore as mere fluff the meanings, the qualities, the
presence of their own minds. This bizarre and simplistic
rendering of their own thinking processes fits well with what I
suggested earlier: it may be we who are approaching the status of robots
rather than robots who are approaching human status.
Moreover, that the errors of the early researchers have not been
remedied by the subsequent reaction is evident when we consider the
second way the statement above can mislead us.
Despite all the confessions (usually made on behalf of others!)
about the one-sided approach to computer models of mind, the current
work is most definitely not aimed at redressing the imbalance.
The researchers have merely been forced to give up all hope of
deriving (and programming) the necessary logical formalism based on a
first-level analysis of human behavior. We too obviously do not
present ourselves on the surface as logic machines.
In other words, the programmer cannot simply look offhand for those
finished, empty structures she would imprint upon the computer's
receptive circuits. She must, it is now recognized, carry out
extensive "semantic analysis"--the analysis of meaning. Which is to say
that she can obtain the desired structures only through laborious toil
within the constraints of the polar dynamic of meaning. Only by first
entering into meaning can she succeed in breaking it down, and even
then she must resort to analysis after analysis--almost, it appears,
without end. And yet, the work always yields some results, and
there is no definable limit upon how far it can proceed.
But the point is that, while the programmer is driven to
pursue the polar dynamic, her entire purpose is to derive for the
computer those same empty structures that her predecessors
would have liked to pluck straight from the surface convolutions of
their brains. That is, as a programmer she is forced to work with the
polarity, but she does so in order to destroy it. For that is the
only way she can satisfy the computer's hunger for absolute precision
about nothing at all. Every approximation, every heuristic, every
"synthesis" must be precisely and logically constructed from the
eviscerated end products of analysis.
Nor is any of this surprising, for the computer itself is
above all else a logic machine. Of the many researchers who believe
computers will some day think and otherwise manifest humanlike
intelligence, few if any now imagine that the thinking robot of the future
will, in its ruling intelligence, leap the bounds of a formal system.
So, for all the recognition of the "limits of logic and
rationality," the one-sided pursuit of the purified end products of analysis
remains the untarnished grail quest of those who would sculpt a lump
of silicon into the shape of a human mind. In this we do not witness
the discovery of polarity, but something more like flight from it.
A great deal hinges on the distinction Barfield drew back in the
1920s, between true and accidental metaphor. The latter is based on
an analysis of complex ideas, whose parts then can be recombined
according to one or another logical scheme. This is quite different
from the activity of the primary imagination, which is responsible for
those more fundamental unities from which complex ideas are con-
structed.
You will remember that the poetic principle creates the individual
terms whose "external," logical relationships can then be manipulated
by the rational principle. The difference between true and accidental
metaphor is the difference between the creation or modification of
terms, and the mere rearrangement of existing terms.
It is not that accidental metaphors have no value. They can be
useful, Barfield notes, "in the exposition of an argument, and in the
calling up of clear visual images, as when I ask you to think of the
earth as a great orange with a knitting needle struck through it--or
call the sky an inverted bowl--two images in which there can at least
be no more than a minimum of poetic truth." He adds that such
metaphors usually carry "a suggestion of having been constructed upon a
sort of framework of logic."
Now, while it is no doubt true that all metaphors can
be reduced to the mathematical ratio a:b::c:d, they
ought not to give the sense of having been constructed on it; and
where that is so, we may probably assume that the real relation
between the two images is but exiguous and remote.**
When I call the earth an orange with a knitting needle stuck
through it, the ratio (a knitting needle is to an orange as its
axis of rotation is to the earth) is not likely to be the vehicle
of imaginative insight. Axis and knitting needle, earth and orange,
hardly constitute revelatory unities, in and of themselves. But we
can arrange a needle and orange in such a way as to represent,
abstractly, the relation of axis to earth, and this may be a
valuable teaching aid. The metaphor, however, will effect little
modification of its constituent terms; we will not come to understand
either knitting needles or planetary axes differently as a result of
it. Whereas the sixteenth-century European could understand "the
earth is a planet" only by reconceiving both earth and planet, the
planetary facts we convey to a student with orange and needle remain
compatible with each of the terms we began with.
Furthermore, to the extent such a metaphor does lead to new
meaning, it is not the sheer logical structure of the ratio that
achieves the result. You can play all you want with the relations
between terms of a mathematical equation, logical proposition, or any
other formal system, but you will not arrive at new meaning unless you
call upon something not given formally in the system itself.**
The important distinction between true and accidental metaphor can
also be seen as a distinction between two kinds of synthesis. The one
operates rationally as the "putting together of ideas." But it rests
upon a second, more basic synthesis. For the putting together
can only come after, and by means of, a
certain discrimination of actual phenomena--a seeing of them as
separate sensible objects--without which the ideas themselves
(general notions) could never have existed. The poetic principle, on
the contrary, was already operative before such discrimination took
place, and when it continues to operate afterwards in inspiration, it
operates in spite of that discrimination and seeks to undo its
work. The poetic conducts an immediate conceptual synthesis of
percepts.**
That is, the imagination (operative in what Barfield calls the
"poetic principle") links percept to percept in such a way as to give
us those basic discriminations--changing with time--that determine
what sorts of things our world consists of. The secondary kind of
synthesis takes these given things and combines them in various ways--
largely, today, upon a latticework of logic.
You will recall the discussion of linear perspective in chapter 22,
where it was pointed out that, in Barfield's words, "before the scien-
tific revolution the world was more like a garment men wore about them
than a stage on which they moved." The birth of our own, peculiarly
perspectival, three-dimensional experience of space was felt to be a
seeing with radically new eyes. And--qualitatively, meaningfully, in
terms of the kinds of things men were given from the world to
reason about--it was indeed a seeing with new eyes.
What carried our culture across that divide was an activity of
imagination--even if it was still largely an unconscious activity.
Similarly, the only way to look backward and straddle the divide in
thought today is with the aid of metaphor, as when one speaks of
wearing the world like a garment. Even so, no formal analysis of such
metaphorical sentences can carry us across what must remain an
impassable barrier until we suddenly see through everything given
formally in the metaphor, grasping it instead as a revealing
falsehood. (One prerequisite for this seeing may be many years spent
studying medieval culture!) Meaning, as I noted earlier, can be
suggested but not conveyed. It cannot be conveyed because there is no
automatic or mechanical process, no formalism, that can hold it.
It is interesting to consider a hypothetical, medievally programmed
robot living through the Renaissance and beyond. The claim in the
foregoing is that this robot's programming could never have prepared
it to cope with the transition from a garment-world to a stage-world.
As the surrounding culture began to assimilate and logically elaborate
the new meanings of a stage-world, the robot born in a garment-world
would find the new terms of discussion oddly skewed in a way it could
never "straighten out."**
This argument, of course, will carry conviction only for the reader
who can successfully imagine the differences between these two sorts
of world. Such an imagination must reach beyond everything given
abstractly, everything formally capturable. After all, the laws
governing the propagation of light (and the formation of images on the
robot's visual input device) presumably did not change during the
Renaissance. The differences were qualitative: they involved, as I
point out in chapter 22, such transitions as the one between finding
oneself "in the story" of a painting or landscape, and gazing upon the
landscape as an observer who has been cast out from it. Or, likewise,
the transition some non-Westerners must still make today if they are
to overcome the strange and unrealistic quality of photographs.
Machines certainly can learn, in the extraordinarily
restricted sense that their current states can be logically elaborated
and the implications of those states drawn out. But this is not at
all the same as logically elaborating a set of structures derived from
genuinely new meanings--and even less is it the same as
apprehending such meanings in the first place. The point with
learning, as with metaphor, is that the computer, as a purely
syntactic machine, cannot realize any future not already implied in its
"past"--that is, in its programming--however sophisticated it may be
at producing ever more ingenious logical variations on that past. It
can, as we saw Bacon put the matter, "prove or dispute" endlessly
regarding its received terms, and can be programmed to recombine those
terms in every possible permutation. But it will never undertake the
difficult task of reconceiving things through an imaginative use of
metaphor that makes a "lie" of its previous meanings.
This is a large topic and, I am convinced, the source of many
confusions. The standard line tends to run this way:
It is true that at one level the computer deals solely in, say,
ones and zeros. But at other levels we see different behaviors
"emerging," and we can best describe some of these behaviors in
non-mathematical language. For example, we can describe a car as a
collection of atoms, subatomic particles, fields, and so on.** (Our
description will be largely
So, for example, there are those who happily speak of the
computer's mathematical determination at some level, while at the same
time hailing its artistic prowess, its intelligence, and even its
potential for freedom. "After all," they will say, "human beings are
fully determined at the molecular level, but it still makes sense to
assert an experience of freedom at the level of our daily activity."
The theorist's redescription of his subject matter in moving from
one level to another provides a tempting opportunity to reintroduce on
the sly and without justification what has previously been purged from
the theory. This occurs in the context of many philosophical
discussions, including those dealing with the "emergence" of human freedom,
purpose, and intentionality. (Intentionality is sometimes described
as the "aboutness" of cognitive activity. Human speech, for example,
is normally about something in a way that, say, the
gravitational interaction between planets is not.)
The place where this illicit smuggling of meaning is perhaps most
obvious is in the very first level of redescription, where the leap is
from theoretical descriptions approaching pure formalism to
descriptions that involve "something else." Surely such redescription is
impossible where we have no description to begin with--no meanings,
nothing to redescribe--that is, where we are dealing with a completed
formalism. If, for example, physics has reached a point where we
cannot associate meaningful terms with our equations, what is it we are
redescribing when we try to relate the theory to, say, chocolate cake?
The fact that we can seem to perform this redescription is
clearly related to those theoretically illicit qualities we let slip
back into our first-level descriptions without acknowledging them.
The question, in other words, is how one gets "things" at all,
starting from the ideal of a formal description. The difficulty in
this helps to explain why researchers in other disciplines are content
to leave the metaphysical quandaries of physics to the physicist.
"Obviously enough," the equations must be about something, so
one can now redescribe that something by drawing upon all its supposed
phenomenal qualities, however theoretically illegitimate those
qualities may be. It has often been noted how easily subatomic "particles"
become, in our imaginations, comfortingly solid little billiard balls.
In moving between higher levels of description, tracking the
sleight of hand can be extremely challenging, because the theorist is
allowing himself to play with meanings to which--precisely because he
has no theoretical basis for dealing with them--he is inattentive. He
easily manages to slip from one "reality" to another, without being
fully aware of how certain subtle shifts of meaning in his words
perform an essential part of the work.
Probably the most widespread, entrenched, and respected gambit of
this sort is the one executed with the aid of information.
From genetic encoding to computer intelligence, the idea of
information plays a key theoretical role. Defined as the measure of a
message's "statistical unexpectedness," information conduces to
wonderfully quantitative explication, precisely because it simply
takes for granted both the message itself, as meaningful con-
tent, and the speaker of the message. And, in strict
information theory, the message and speaker are indeed irrelevant; they're
not what the theory is about. At the higher levels, however, many
theorists are all too ready to assume, not that meaning has been
ignored at the lower level (which is true), but that it has
been satisfactorily reduced and explained (which is
false). These are very different matters.
What makes all this plausible is our ability to program
deterministic, mathematically describable machines that do succeed in
"processing information"--where "information" is now understood as
having meaningful content. If one is willing to ignore the
significance of the premier act of speaking by the programmer, and if one
manages to lose sight of the necessary polar dynamic of meaning from
which that act proceeds, then one can sustain the illusion that
information and meaning really do arise of their own accord from an edifice
of abstractions.
That this causally grounded interaction between logical mechanism
and words is something quite different from the polar dynamic of
accuracy and meaning will, I think, be appreciated by anyone who has truly
entered into an understanding of the dynamic. But that is a topic I
have not addressed here.
But if this is our highest task, it is also the one most difficult
to undertake in ourselves or to recognize in others. It is not easy
to identify what comes merely from the expression of habit, the play
of deeply ingrained associations, the mechanical response to
controlling cues in the environment (in other words, from a past determining
the future)--just as it is not easy to identify what is a true taking
hold of ourselves in freedom, allowing a new future to ray into the
present.
It may be far more challenging to recognize the sovereign, free
self than many of us imagine. Take away that self, and we would
continue to cruise through life in most of the expected ways. Which is
to say that the self is not very prominent. It has yet to waken fully
to its own powers of freedom. Such, I believe, is the state in which
mankind now finds itself. And yet, it is only in profound wakefulness
that we can begin to understand what distinguishes us from machines.
Meanwhile, we are creating intelligent devices possessed of ever
increasing cleverness. We can carry this process as far as we wish.
It is a process without limits, and yet with radical limits. On the
one hand, there is no meaning we cannot implant within the computer,
so long as we are willing to identify the meaning with a set of
precisely elaborated logical structures. On the other hand, however
complex and intricate the elaboration--however many layers we construct--
the computer as a computational device remains outside the living
polarity of truth and meaning. Within the breathing space between
these two facts there is doubtless much we can achieve with computers
if, recognizing their peculiar nature, we make them the servants of
our meanings.
But I hope this chapter will have made the risks a little more
visible. Hypnotic fascination with the abstract forms of
intelligence, and a hasty rush to embody these forms in electromechanical
devices, can easily lead to renunciation (or simple forgetfulness) of
the inner journey toward the living sources of our thinking. Yet it
is human nature to leave every past accomplishment, every worn
meaning, behind. A past that rules the present with a silicon fist is a
past that congeals, crystallizes, fractures, prematurely reducing to
straw the tender shoots of a future not yet realized. To live in
freedom is to grow continually beyond ourselves. The future robots of
our fancy could only rule a desolate landscape, for they would be
intelligences without live meaning, creatures of vacant form, lacking
all substance, condemned to echo futilely and forever the
possibilities inherent in the last thoughts of their creators--a prospect no
less gray when those last thoughts happen to express the most sublime
truths of the day. These machines would be the ghosts of men, not
even desperate in their ingenious hollowness.
This article was excerpted from the book
The Future Does Not Compute ,
by Stephen L. Talbott.
A Brief Preview
As I have just suggested, no one can strictly prove that the
computer suffers decisive limitations relative to the human being. We
could capture the matter in a proof only if everything in the human
being were assimilable to the language of proof--and therefore only if
everything in the human being were "computable"--which would also
imply that the proof was wrong.
Accuracy, Truth, And Meaning
In using language, we often strive for accurate communication. We may
also seek something like fullness of expression, richness of content,
or the expansion of meaning. Between these two aims there is a kind
of tension. Consider the following sentences:
The Polarity of Accuracy and Meaning
In assessing the three sentences above, we run into the same problem
we encountered when asking about the computer's one-sidedness. Do we
really have a clear idea of what we might contrast with accuracy?
Sentence (3) may indeed seem, in its current formulation, more
"profound" than (1), but doesn't this just suggest that we should
elaborate the truth of (3) until it has become as straightforward as (1)?
For while most of us can accept the goal of accuracy with unqualified
enthusiasm, we don't quite know what to do with the notion of meaning
or fullness of expression. Isn't the opposite of accuracy simply
vagueness or fuzziness of expression? And if my attempt to achieve
deeper meaning results in diversity of interpretation, shouldn't I try
to clarify my thought--express it more precisely, so that its meaning
is unambiguous?
=====================
**Footnote: Barfield, 1967: 35-39. I have also discussed the idea of
polarity in chapter 22, "Seeing in Perspective."
=====================
for example, of a bar magnet. Its north and south poles are not mere
opposites. Neither can exist without the other, and each penetrates
the other. Cut off a section of the north end of the magnet, and you
now have a second bar magnet with both north and south poles. It is
impossible to isolate "pure northernness." Each pole exists, not only
in opposition to the other, but also by virtue of the other. If you
destroy one pole, you destroy the other as well--by demagnetizing the
bar.
The Polar and the Nonpolar
It seems odd that so fundamental an idea as polarity should find so
little employment in the various domains of human thought. Odd,
perhaps, but not surprising, for an age of logic and precision is much
more comfortable with binary oppositions (on or off, A or not-A) than
with this strange notion of mutual penetration. Even in physics, the
actual phenomenon of polarity (like most other observable phenomena)
is scarcely dealt with as such, but rather is immediately reconceived
in terms of "particles" and their mathematical characteristics. For
our present purposes, however, it is the phenomenon of polarity
itself that we must invoke.**
=====================
**Footnote: Regarding the "disappearance" of phenomena into
theoretical entities, see Edelglass et al., 1992.
=====================
=====================
**Footnote: Actually, it is virtually impossible to take mathematics
in the strictest sense, because we are by nature creatures of meaning.
We cannot wholly purge mathematics of those meaningful associations of
form and substance from which it has been abstracted (and to which it
ever seeks a return). Moreover, nothing here is meant to deny the
very deep and worthwhile satisfactions to be had from pursuit of the
purest mathematical disciplines.
=====================
mathematics is not thereby a kind of pure "northernness," for in
gaining its perfect accuracy and losing its potential for expressing
meaning altogether, it has lost its essential linguistic nature. Can we
really even speak of accuracy when a language gives us nothing
about which to be accurate? Accuracy in communication can only
exist in the presence of some meaning; otherwise, nothing is
being communicated.
The Pole of Logic and Mathematics
If we apply our concern for accuracy not to the details, but to the
overall assertion of a statement; if we reduce the states about which
we are accurate to two; and if we call those states "truth" and
"falsity"--we arrive at logic. Like mathematics, logic is a kind of
endpoint of abstraction, from which all meaning is lost.** We can
illustrate this by
=====================
**Footnote: In modern theory, mathematics and logic are not treated as
fundamentally distinct disciplines.
=====================
looking at the meaning of logical truth.
=====================
**Footnote: Russell, 1981: 59-60.
=====================
A Prevailing One-sidedness
I hope this predicament is by now becoming familiar to you. The drive
for logical precision consumes and destroys itself if it does not
remain in creative tension with something else. Furthermore, because
our culture, with its scientific and technological mindset, tends
strongly to vest authority in the logical and quantitative processes
of thought, the "something else" remains obscure and mysterious--
always suspect to the properly tough-minded investigator. What
results is a compulsive striving toward a kind of absolute vacuity.
There are many symptoms of this striving, the primary one being the
entire history of modern science. Having started out to explain the
world, we find ourselves now (in the "hardest" of sciences--physics)
struggling to figure out what our most sophisticated equations
mean--if they mean anything at all.
Meaning and Logic
I cannot tell you what meaning is. Nor can anyone else. Crazily,
this leads to the common denial that meaning is worth bothering about
at all. The physicist Hans Christian von Baeyer relates a
conversation he had with Claudia Denke Tesche, a scientist exploring problems
of quantum mechanics. The question of the meaning of her work arises,
and the conversation takes an all too familiar turn:
=====================
**Footnote: von Baeyer, 1992: 178.
=====================
=====================
**Footnote: See appendix 4 in Barfield, 1973.
=====================
Where Does Logic Come From?
Our more immediate concern here is with the relation between pure
logic--which has fallen out of the polarity of accuracy and
expressiveness--and the more or less clear meaning that is borne by
the polarity.
How Does Meaning Arise?
As Barfield shows in a fascinating paper,** the
creation of meaning is a function of something rather like untruth.
=====================
**Footnote: Barfield, 1981.
=====================
"The earth is a planet."
That is, the predicate simply repeats a truth already inherent in the
subject. If we truly know the meaning of "earth," then we also know
that earth is a planet. So the remark tells us nothing new. On the
very face of it, the sentence purports to do no more than define
"earth"--it tells us what earth is--so that if we already know
the definition of "earth"--if the terms of the sentence are from the
start precisely accurate for us--we learn nothing. Again, mathematics
and logic offer the most extreme example. When we write the equation,
2 + 2 = 4
says. If we
clearly understand "2 + 2," then we already see that it is the same as
"4." There is not some new content in "4" that was missing in "2 +
2."
The Role of Metaphor
Against the original background of meaning, to say "the earth is a
planet" was in some respects to voice a bold metaphor--rather as if
someone today said, "every star is a divine being, vestured in light."
Given the straightforward, literal meanings of "earth" and "planet" in
Copernicus' time, the statement was untrue; but, as in every metaphor,
one must look through the primary meaning--the literal
untruth--in order to grasp the intended, emergent meaning. In this
case the emergent meaning had partly to do with a certain principle of
movement common to both earth and the planets; earth was like
the planets, at least with regard to its motion around the sun.
=====================
**Footnote: See, for example, Barfield's evocation of the medieval
consciousness, quoted in chapter 22.
=====================
The statement remained metaphorical--a revealing lie--at first. It
would take an extended period for its metaphorical thrust to be
generalized and become a matter of routine literalness--that very period,
in fact, marking the transition from medieval consciousness to our
modern, scientific mentality.
=====================
**Footnote: Butterfield, 1957: 131.
=====================
Other-saying
A metaphor is one example of what Barfield calls "other-saying":
saying one thing (that must be received as a fiction), and intending by
it a second thing. Whatever else we claim about such statements, we
cannot call them tautologies, for on their face they are not even
true. Nevertheless, they are frequently meaningful.
=====================
**Footnote: Barfield, 1981: 32-34.
=====================
=====================
**Footnote: Barfield, 1981: 35.
=====================
=====================
**Footnote: Barfield, 1973: 134.
=====================
even "high-sounding `scientific' terms like cause, reference,
organism, stimulus, etc., are not miraculously exempt" from the
rule that nearly all linguistic symbols have a figurative origin. For
example, "stimulus" derives from a Latin word designating an object
used as a spur or a goad. Similarly for such words as "absolute,"
"concept," "potential," "matter," "form," "objective," "general,"
"individual," "abstract."
=====================
**Footnote: Barfield, 1981: 37.
=====================
The Polar Dynamic Of Meaning
Other-saying invites us to recognize significant resemblances and
analogies between things. The first person to speak of a "charged
atmosphere" in describing interpersonal tension discovered a common
something between static electricity and human experience. The demand
for unity driving such discoveries is, according to Barfield, "the
proper activity of the imagination."**
=====================
**Footnote: Barfield, 1973: 25.
=====================
Symbol and Analysis
The imagination, in Barfield's view, makes meaning. Logical
consistency, on the other hand, is the outcome of rational analysis. In
the interaction between imagination and rational analysis we see the
polar contraries, meaning and accuracy, brought into mutual play.
=====================
**Footnote: Barfield uses "poet" and "poetic" to express broadly the
operation of the imagination, as opposed to that of rational analysis.
The terms are by no means so restrictive as in normal usage today.
Thus, a creative scientist may be as likely to exercise the poetic
function--if not more so--as a writer of verse.
=====================
has nothing to do with this. It can only manifest itself as fresh
meaning; it operates essentially within the individual
term, which it creates and recreates by the magic of new
combinations....For in the pure heat of poetic expression
juxtaposition is far more important than either logic or grammar. Thus, the
poet's relation to terms is that of maker.**
=====================
**Footnote: Barfield, 1973: 131.
=====================
====================
**Footnote: Barfield, 1973: 113.
=====================
Holding The Balance
However one-sided the tendencies of our age, we cannot say that either
imagination or rational analysis is more essential than the other.
All understanding is born of their polar interaction. The imagination
is forever discovering new unities, while rational analysis is forever
dissecting them. In the actual advance of understanding, there is a
continual alternation between these principles. When the breakdown of
the image yields contradiction, we can overcome the contradiction in
either of two directions: by destroying all meaning and ending up
with a set of empty logical structures, or else by returning to a
wholly unanalyzed unity, whether of the original image or a new one.
The Bias Of Our Age
I said earlier that the meaning of meaning would prove difficult to
capture. This difficulty reflects what we have become. It is no
accident that the central issue in artificial intelligence is the
relation between computation and meaning; or that making human labor
meaningful is the decisive challenge for modern industry; or that the
relation between equation, model, and meaning has bedeviled modern
science; or that in general our age has become known as the age of
meaninglessness. Meaning, it seems, was simply "given" to those of
earlier eras. For us, absence of meaning is the given, and its
rediscovery requires a sometimes painful inner movement in opposition
to the prevailing spirit of our time.
=====================
**Footnote: Barfield, 1973: 133.
=====================
with absolute fidelity--although it is fidelity to no-content,
nothing--is only the empty proposition of logic or equation of
mathematics.
=====================
**Footnote: Francis Bacon, The Advancement of Learning,
2.17.10. Quoted in Barfield, 1973: 141-42.
=====================
So, Then...What Is Meaning?
I still cannot tell you. Meaning is not a "what." It is what makes
all "whats" possible, giving them content. Our difficulty in
grappling with it reflects the culture's one-sidedness. When rational
argument is one's only legitimate, tough-minded weapon, it becomes
nearly impossible to lay hold of meaning, for meaning cannot be
argued. And yet, as we have just seen, all but the most prosaic
arguments require the establishment and recognition of new meaning.
=====================
**Footnote: Barfield, 1973: appendix 2.
=====================
=====================
**Footnote: Barfield, 1965b: 127. He is speaking here through the
fictionalized voice of a physicist, Kenneth Flume.
=====================
=====================
**Footnote: Barfield, 1977a: 100.
=====================
We may think that our good, scientific terms are somehow safely,
solidly, material in meaning. And yet, as Barfield points out, "It is
just those meanings which attempt to be most exclusively
material...which are also the most generalized and abstract--i.e.
remote from reality."**
=====================
**Footnote: Barfield, 1973: 79.
=====================
To see this more clearly, we can contrast abstract with concrete
meanings. "Concrete" does not mean "material." Rather, the concrete
combines the perceptual and the conceptual--which together make the thing
what it is. To illustrate a fully concrete definition, Barfield asks
his reader to imagine a single word conveying what we would
have to translate as "I cut this flesh with joy in order to
sacrifice." Such a word would not be highly abstract, and what saves it
from being so is not only its particularity but also the fact that its
reference to outer activity is suffused with inner significances.
=====================
**Footnote: Barfield, 1973: 187-88.
=====================
And again:
=====================
**Footnote: Barfield, 1973: 75.
=====================
BarfieldUmentions how, in metaphor, poets have repeatedly related
death, sleep, and winter, as well as birth, waking, and summer. These
in turn are often treated as symbols of the inner, spiritual
experiences of dissolution or rebirth. He then offers these observations:
=====================
**Footnote: Barfield, 1973: 91-92.
=====================
Computers, Logic, And Meaning
Barfield's work on meaning and polarity can scarcely be ignored in any
discussion of the nature and capability of computers. A serious and
widespread attempt to reckon with his insights would undoubtedly
transform many disciplines relating to computers. To the potential
literature waiting to be written, I can here contribute only a few
concluding pages in which I try to suggest three or four basic
directions in which the discussion might be carried by those who are
interested.
The Destruction Of Polarity
The drive toward artificial intelligence can be seen most fruitfully
as a drive to escape the polar dynamic of meaning. It is, moreover, a
realistic campaign, inasmuch as we can engrave the nondynamic,
finished forms of intelligence upon physical stuff. And if we lose
our awareness of all but these empty structures--if the present,
dynamic act of thinking drops from our view--then we can easily
be convinced that mechanical manipulation of the structures is what
thinking actually is. All this hinges upon our loss of meaning, for
meaning is what does not reside in those structures.
=====================
**Footnote: Haugeland, 1985: 122.
=====================
Is Meaning Treated More Respectfully Today?
If it is true, as I am arguing, that the main thrust of artificial
intelligence is to destroy the polar dynamic, we should see evidence
of this thrust. And the first place to look is where artificial
intelligence has, in recent years, been embracing the important
role of meaning ("semantics")--this following an early and disastrous
flirtation with supposedly self-sufficient logic. But is
meaning really treated more respectfully today than it used to be?
=====================
**Footnote: Quoted in Johnson-Laird, 1988: 11.
=====================
=====================
**Footnote: Quoted in Weizenbaum, 1976: 201.
=====================
=====================
**Footnote: Gardner, 1985: 361.
=====================
Computers And The Interpretation Of Metaphor
As one would expect, the effort to give computers an "understanding"
of metaphor is logicocentric. In its own terms it may prove effec-
tive. Moreover, unless we ourselves enter with strengthened
imagination into the polar dynamic of meaning, we may easily be convinced
that the computer can deal with metaphor much as we do.
=====================
**Footnote: Barfield: 1973: 197-98.
=====================
=====================
**Footnote: The Copycat program developed by Douglas Hofstadter et al.
exemplifies current efforts to understand metaphor computationally.
Hofstadter speaks with disarming ease of "an unexpected and deep
slippage," "the revelation of contradiction," "intense pressures," and
those "radical shifts in point of view" that bring one "close to the
roots of human creativity." And yet, all the devices of Copycat
amount to a kind of logical juggling from which no new simple
terms (as opposed to new combinations of existing terms) can ever
arise. That is, the program can do no more than play with the logical
structure of complex entities; it cannot alter any of the root
meanings from which all complex terms are constructed.
Hofstadter, incidentally, shows no sign that he is aware of Barfield's
work on metaphor and meaning. (See Hofstadter, Mitchell, and French,
1987; Mitchell and Hofstadter, 1990a; Mitchell and Hofstadter, 1990b.)
=====================
=====================
**Footnote: Barfield, 1973: 191.
=====================
=====================
**Footnote: It might make more sense to imagine a modern robot
transported back to medieval times. But the same point can be made,
either way.
=====================
Computer Learning
The effort to make machines that learn is governed by these same
issues, for the essence of learning (as opposed to shoveling "facts")
lies in the expansion of meaning. Both imagination and metaphor,
along with the more commonly accepted tools of analysis, must be
present in any learning that is not simply a confirmation of existing
prejudices.
Levels Of Description
There is one objection my discussion will have provoked from certain
quarters almost every step of the way. "You have mixed together
different levels of description. Computers may be rule-bound on one
level, but at a higher level they need not be."
=====================
**Footnote: Actually, it's worth pointing out that, despite the
standard story, one obviously cannot do this. Supposedly, it's
possible in principle, but even the principle, it turns out, is
riddled with vices.
=====================
mathematical.) We can also resort to camshaft, valves, pistons,
gears, and the like. Or, again, we can talk about how nicely the car
drives us to the supermarket. The language of one level doesn't get
us very far when we're talking on a different level.
Toward The Future
The preceding is far less a set of answers to the pressing questions
of cognitive science than it is a sketchy proposal for a research
agenda. Nor does it touch upon more than a few selected issues. I
have not discussed, for example, the fact that the computer's role
cannot be understood solely in terms of its character as a syntactic
or logic engine--even if that character wholly defines and limits what
we might call its "native intelligence." Much of the computer's
practical effectiveness comes from the way the programmer cunningly
marries what I have elsewhere called "book value"** to
=====================
**Footnote: See chapter 18, "And the Word Became Mechanical."
=====================
the otherwise empty logical structures of a program. In this way,
words that have detached themselves from the human speaker gain a kind
of life of their own, jerkily animated, so to speak, by the logical
mechanism upon which they are hung. The expectation that the
jerkiness can progressively be smoothed out lies behind much of the hope
for humanlike intelligence in machines.
Searching For The Self
If we take human freedom seriously, then we cannot hope to capture in
any final terms the nature of man. As is sometimes said, each
individual is a "species" of his own. We work, or can work, upon our
own natures.