"Nature computes itself by evolving in time"

Let me put then my question this way. When Nature computes itself does the next state is uniquely determined the previous steps? Or, to make the next state, does Nature play a dice?

I would appreciate if you explain how bifurcations and symmetry breaking could happen along the way that you have described.


On 25.03.2012 23:11 Stephen P. King said the following:
On 3/25/2012 2:46 PM, meekerdb wrote:
On 3/25/2012 2:43 AM, Evgenii Rudnyi wrote:
Let us take Benard cells for example. It is a good idea. I guess that
in this case the incompressible Navier-Stokes equations with the
Boussinesq approximation for free convection should suffer.

If I understand correctly, bifurcation in this case arises when we
increase the temperature difference between two plates. That is, if
we consider the stationary Navier-Stokes equations on the top of
thermal gradient Del T in the system, there is a critical Del T after
that we have several solutions.

To be back to my question. One could construct a system of equations
from the stationary Navier-Stokes equations + Del T(time). In this
case we have a problem that at some time when we reach a critical Del
T, the system of equation has suddenly several solution and the
question would be which one will be chosen.

On the other hand, one could use the transient Navier-Stokes
equations directly and it seems that in this case the problem of
bifurcation will not arise as such. Well, in this case there are
numerical problems.

And then one could use molecular dynamics directly - but this raises a
different kind of numerical problem: how to put in the initial
conditions for 1e28 molecules. But nature manages.


Dear Brent and Evgenii,

Nature computes itself by evolving in time. "The universe is not a
program running somewhere else. It is a universal computer, and there is
nothing outside of it." ~David Deutsch

A possible easy answer as to how Nature manages to "put in the initial
conditions" is to consider that the actual evolution physical system of
those 1e28 molecules, etc. is the actual computation of its behavior, as
Stephen Wolfram has already pointed out. This makes sense once we cast
aside the idea that computations are somehow objectively alienated from
the physical world. When and if we consider that the evolution of each
and every physical system is its own computation of itself and that
computational universality is more or less just a mapping of the
functions involved and not some crypto-substance dualism that completely
separates the computations from the physical systems, then the
difficulties of measures and so forth vanish. We no more need to invoke
immaterial programs than we need to conjure immaterial spirits to
explain these things and trying in vain to eliminate that which is so
obviously real, our subjective consciousness, as at best an illusion, is
equally a fools game. Dualism will work iff used correctly.
In a sense, we might think of all of the functionally equivalent
computations of the behavior of a system define transformations
(endomorphism?) on a space whose fixed point is identified with the
actual physical system itself. Dually we can say that all of the
physical dynamics of a system define a logical algebra whose
(Kleene)fixed point
<> is the
semantics of the computation. Abstract and concrete aspects "touch" in
the actual objects themselves.
IMHO, it is what Hegel and Marx tried to explain with their theories of
<> that
is the error. There is no actual dichotomy between mind and body or
particular from Totality, there is only a problem of how to explain how
bodies interact with bodies and how to minds interact with minds. We
have most of the solutions to these problems already outlined before us
in QM, GR and the work of Marchal, Turing, Barwise, Kleene, Wolfram,
etc. What we actually struggle for is our individual understanding of
these principles. When we are trying to built predictive models of
physical phenomena to control aspects of them, we are not capable of
creating simulations that are more faithful to the systems themselves
and so have to use approximations and other devices to overcome this



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