Chapter 3. (continued)
Diagram of the human
brain.
A single neuron, showing
its branching structure.
The
last few paragraphs describe only the dead ends that have been hit in AI. Other
sciences searching for this same holy grail—a clear, evidence-backed model of
human thinking—haven’t fared any better. Neurophysiology and behavioural psychology
also keep striking out.
If a
neurophysiologist could set up an MRI or similar imaging device and use his
model of thinking to predict which networks of neurons in his brain would be
active when he turned the device on and studied pictures of his own brain
activities, in real time, then he and his colleagues could finally say they had
formulated a reliable working model of what consciousness is. But on both the theoretical
and practical sides, neuroscience is not even close to being so complete.
Patterns
of neuron firings mapped on one occasion when a subject is performing even a
very simple task unfortunately can’t be counted on. We find different patterns
of firings every time we look. A human brain contains one hundred billion
neurons, each one capable of connecting to as many as ten thousand others, and
the patterns of firings in that brain are evolving all the time. Philosophers
looking for a solid base for empiricism are disappointed if they go to neurophysiology
for that base.12
Similar
problems beset behavioural psychology. Researchers can condition rats and
predict what they will do in controlled experiments, but many exceptions have
to be made to behaviorist explanations of what humans do in everyday life.
In a
simple example, alcoholics who say they truly want to get sober for good can be
given a drug that makes them violently, physically ill if they imbibe even very
small amounts of alcohol, but that does not affect them as long as they do not
drink alcohol. This would seem to be a behaviourist’s solution to alcoholism,
one of society’s most intractable problems. But alas, it doesn’t work.
Thousands of alcoholics have kept on with their self-destructive ways while on
disulfiram.13 What is going on in these cases is obviously much more
complex than behaviourism’s best theories can account for. And this is but one
simple example.
I,
for one, am not disappointed to learn that the human animal turns out to be a
very complex, evolving, open-ended piece of work, no matter the model under
which we analyze it.
At present, it appears that empiricism can’t provide a rationale
for itself in theoretical terms and can’t demonstrate the reliability of its
methods in material ways. Could it be another set of interlocking, partly
effective illusions, like medieval Christianity, Communism, or Nazism once
were? Personally, I don’t think so. The number of achievements of science and
their profound effects on our society’s way of life argue powerfully that science
is a way of thinking that gets results in the real world, even though its
theories and models are constantly being updated and even though its way of
thinking can’t logically justify itself.
However,
sometimes models of reality from some of our once most widely believed and
trusted scientific theories—for example, Newton’s laws of motion—have turned
out to be inadequate for explaining more detailed data drawn from more advanced
observations of reality. The mid-nineteenth-century views of the universe provided
by better technologies and bigger telescopes led astronomers past Newton’s laws
and eventually toward Einstein’s theory of relativity. Newton’s picture of the
universe turned out to be naïve but still quite useful on our everyday scale.
Thus,
considering how revered Newton’s model of the cosmos once was, yet knowing now
that it gives only a partial and inadequate picture of the universe, can cause
philosophers and even ordinary folk to doubt the way of thought that is basic
to science. One can’t help but question whether empiricism is trustworthy
enough to be used as a base for something as desperately important as a moral
code for our species. Our survival is at stake here. Science can’t even provide
a model that can explain science itself.
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