Evolution increases the computational ability of organisms.

On Sep 17, 1:45 pm, dkomo <dkomo...@xxxxxxxxxxx> wrote:


What does this mean? In Roger Lewin's _Complexity: Life at the Edge of
Chaos_, in Chapter 7 "Complexity and the Reality of Progress", he
interviews Norman Packard and there is the following exchange:
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I can see what might be meant by computation in organisms that have a
brain of reasonable size, I said to Norman, but what about clams and
trees? "Survival has to do with gathering information about the
environment and responding appropriately," Norman answered, clearly
echoing Ayala. "Bacteria do that, by responding to the presence or
absence of certain chemicals and by moving. Tree communicate chemically
too. Computation is a fundamental property of complex adaptive systems,
which, you'll remember, is optimized at the edge of chaos. Any complex
adaptive system can compute; that's the key point. You don't have to
have a brain to process information in the way I'm talking about it."
But it helps? "It's higher on the scale of computational ability, if
you like."

When you say "higher on the scale", I asked Norman, are you suggesting a
history of successive increases in computational ability in evolution?
"That's how it looks to me," he replied. "Intuitively, it seems
reasonable that the task of survival requires computation. If that's
true, then selection among organisms will lead to an increase in
computational abilities. That creates an arrow of change, not just a
drift upward."

Most species on Earth today are single-celled organisms, as in the
pre-Cambrian, and much of the rest are insects, I said. That doesn't
look like inexorable progress to greater computational ability, does it?
"We're talking about survival, " said Norman. "And, yes, there are
countless niches out there in which species do very well with certain
levels of computational abilities. But where survival is contested,
mostly you will see an increase. Think of it as a constant exploration
of the utility of increased computational complexity in evolution.
Sometimes it gives an advantage, and that gives you the arrow."
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--p. 138 & 139

Of course, this isn't exactly a new idea. Lewin writes:

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For example, in a classic text on evolution by Theodosius Dobzhansky,
Francisco Ayala, G. Ledyard Stebbins, and James Valentine, the "ability
to gather and process information" is said to have increased through
evolutionary history, and, indeed, to be a mark of progress. A few
years ago I attended a conference at the Field Museum in Chicago, where
the topic was "evolutionary progress." Francisco Ayala was one of the
first to speak. "The ability to obtain and process information about
the environment, and to react accordingly, is an important adaptation
because it allows that organism to seek out suitable environments and
resources and avoid unsuitable ones," he said. Edward O. Wilson also
considers information processing as a measure of complexity. "No
question about it," he told me. "There's been a gradual increase in
information processing over the last 550 million years, and particularly
in the last 150 million years." If at least some biologists and the
dynamical systems people collectively point to information processing as
a mark complexity, we may be getting somewhere.
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--p. 137 & 138

Here's an example of information processing inside E. coli:

"But how can an individual bacterium, locked into the genome it has
inherited, cope with environmental fluctuation?"

"Think, for instance, of an E. coli living in the erratic environment of
a human colon, dependent for its nutrients on the whimsical eating
habits of its host. If the bacterium is deprived of the amino acid
tryptophan, which it needs to survey, it responds by activating a
metabolic pathway to make its own tryptophan from another compound.
Later, if the human eats a tryptophan-rich meal, the bacterial cell
stops producing tryptophan for itself, thus saving the cell from
squandering it resources to produce a substance that is available from
the surrounding solution in prefabricated form. This is just one
example of how bacteria tune their metabolism to changing environments."

Campbell & Reese, _Biology_, 6th ed., p. 347

--dk...@xxxxxxxx


I think we need a general definition of information processing. I'll
start with this:

"Causal interactions that can be simulated exactly on a digital
computer"

There is an immediate problem here: only purely digital interactions
can satisfy the definition. Evidently, natural systems have a degree
of such digital equivalence, but the material substrates get in the
way of the analysis. Generally, we cannot cleanly separate the
information processing from the implementation.

Any suggestions for a better definition?

--
Joe

.

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