Re: The Grand Unified Theory! C and C Please!

From: Eric Chomko (echomko_at__at_polaris.umuc.edu)
Date: 02/07/05 

Date: Mon, 7 Feb 2005 20:37:18 +0000 (UTC)

jonathan (Write@Instead.com) wrote:

: "Eric Chomko" <echomko_at_@polaris.umuc.edu> wrote in message
: news:ctv08s$2e7c$1@news.ums.edu...
: > jonathan (Write@Instead.com) wrote:
: >

: > : When the two opposite extremes, light and motion, stand
: > : poised at the transition state between each other then
: > : increasing order or evolution takes place....Darwin.
: >
: > I don't follow. Light and motion are related to relativistic
: > physics; Einstein and not Darwin, which starts with DNA and
: > moves into the direction of more and more complex organisms.

: Quantum mechanics and classical motion are two different things though.
: Relating the two is the big goal isn't it? On earth we see the clear
: relationships between the quantum, classical and living worlds
: if we shift our frame of reference to the system level.

Yes, the system level can make a great deal of different things seem
similar.

: Earth is not too close or far from the sun, just the optimum
: level of light/energy. The earth also has the optimum level
: of thermodynamics as it's not dry or frozen solid.
: Which means earth enjoys an unstable equilibrium between
: light and motion. And as a result the earth is swimming in
: life.

: The three realms of quantum, classical and living worlds
: are related to, and dependent on each other, within
: a single system. All three with equal weight in
: driving the system forward.

They can be observed and measured.

: > : For example, when opposite extremes in possibility
: > : space are in a dynamic interaction or union, then creation
: > : takes place.
: >
: > Creation of what?

: Everything. This is an abstract description of how evolution
: of either material or living systems are initiated.

: > : Order and self organization occur at the phase transition
: > : between static and chaotic system specific attractors.
: >
: > Have you try to simulate this on a computer? The simulation
: > of "Life" comes to mind. Used to be a big thing with Forth
: > programmers back in the late 70s.

: Run the simulations yourself in the link below to see
: how self-organization or evolution is driven.
: Notice that evolution is a property of /non-living/
: systems. And that randomness is the primary
: element.
: http://users.ox.ac.uk/~quee0818/complexity/complexity.html

: The point that random interactions of non-living objects
: spontaneously organize and evolve changes everything.
: Since this means the Darwinian evolution we all know
: and love applies to material systems. This means the
: evolution of geology to life is not a fluke, but a
: seamless process of ever increasing order.

: How does that change the Drake equation?

: There is a huge difference between a random
: walk assumed in that equation, and a directed
: one both material and living systems follow of
: ever greater emergence

: Random interactions spontaneously create order.

Out of chaos or an existing different state of order?

: I can't overemphasize that enough. Think about
: what the second law does best, breaking things
: down and creating more variables and interaction.
: Just the food for self-organization as shown by
: the simulations in the above link.

: The second law is not a destructive force, but provides
: the prerequisites for evolution of material systems
: into living ones.

Sounds like how stars are born out existing matter that was once
complex but is now basic.

: > : I use these concepts, as best I can, in the stock market
: > : or looking at Meridiani. Even personal goals or
: > : relationships for that matter. It works, I've been
: > : testing it. It has panned out fine with a stock trading
: > : system. I've been playing obci for example, look at the
: > : five day chart of that. Once it fell to near $2.5 it become
: > : an obvious buy looking for a very predictable short
: > : squeeze or two. An easy 20% in two days.
: > : I play stocks through /system dynamics/ instead of
: > : company specifics.
: >
: > Hold te phone! Somebody was mentioning this to me. It is
: > sort of like using the Fibonacci Sequence as a predictor yet
: > more complex. And instead of it being tied into a golden
: > ratio growth curve it is more like a sine wave cyclical
: > results patterns over time.

: In chaos theory the idea is that systems at equilibrium
: experience occasional short term bursts of transient
: activity. A sudden disturbance that drives the system
: far from equilibrium. When driven away from rest
: with an intermediate or complex level of force the
: system will self-organize. Meaning universal behavior
: takes over that is not dependent on system specific
: properties. In this state the company details become
: irrelevant. Also in this edge state simplicity in near
: future behavior is found, as the system displays
: its future by bifurcating into either a chaotic or
: static pre-image.

: The fibonacci method looks for a fall of just
: under 40%, as I do. But look at the ten day chart of
: hpol, which retraced about this much.

: Now compare that to the same fall from
: remix. Monday remix will bounce back ten
: percent or so, hpol will not. Why?

: Hpol shows a classic chaotic pre-image where
: the future cannot be predicted from the conditions
: displayed in the short term chart. It's a cliff.

: Remix shows a classic static pre-image that has been
: pulled from equilibrium in a complex manner, and will
: rebound somewhat towards equilibrium. It's a storm.

: When pulled far from equilibrium behavior will bifurcate
: into one or the other images. Or some combination of
: the two.

: The first pattern shows another thing, the big money
: just panicked and sold. The second shows the little
: money walked. It's a matter of quantifying the level
: of volatility. Falling straight down, the max rate of change
: of price, may seem to most as the max volatility. But
: it's only a vector change, not an increase in turbulence.

And you have applied this to markets?

: Falling at a scale-independent 45 degrees is where the
: maximum volatility resides. And once that fall has reached
: the 40% level the system is on the edge and at the
: max sensitivity. Which means universal behavior
: sets in. The chart behaves independently of its
: specific details and starts behaving like bird flocking
: or a thunderstorm.

It would be interesting to try and animate this as a movie from an
artistic point of view.

Is there a way to have real world feedback to influence the cycles
from generation to generation or is it all random?

: TOWARD THE 'EDGE METHODOLOGY' FOR COMPLEX
: SYSTEMS SIMULATION
: http://www.calresco.org/milov/ymtemcss.htm

I'll check it out.

: A precise chart and narrow set of parameters can be drawn
: from theory that displays a static pre-image and
: self organizing behavior. The formula is simple.

: All the primary variables must be 'complex' at the same time.

: That's the formula that draws the chart of the ideal
: technical adjustment.

: Complex being used as defined by complexity science.
: Which is simply when a variable is midway between its
: system specific possibility space. In a stock chart one
: would draw complex values for price, volume and time.
: And the rates of change of each.

: http://www.calresco.org/themes.htm

: For example. Finding the complex realm for the variable
: of time is as easy as all the rest. One extreme in possibility
: for time is the day traders, which trade in time periods
: of minutes or hours. The other extreme is the longs, which
: trade in months or years. The midpoint, or complex realm, is
: then simply what's between....days or weeks.

: So the complex time frame would be a five or ten day pattern.

: All the other variable parameters are deduced in just the
: same way. It's really easy. And btw, evolution and the creation
: all of things in the universe are defined by the very same
: formula.

: Once you've become familiar with the pattern of life and
: creation, you suddenly realize it's everywhere.

: It's at Meridiani. All the primary variables are complex.
: The soil, the rocks the spheres. All three primary variables
: show equal measures and dependencies of the other two.

: Meridiani is complex in all the primary variables at the
: same time. It's an ecosystem with a life of its own.

Life as in processes but not as in biological, right? Or are you saying
that you believe that actual living organisms exist on Mars?

Eric

: Jonathan

: s

: >
: > : /Connectivity/ instead of particle physics.
: >
: >
: > : Now I'm waiting to see if these ideas put
: > : me on the right track in figuring out Meridiani.
: >
: > What is your goal?
: >
: > : A true test as the answer is not known, so I
: > : can't ~cheat. Bacterial concretions and
: > : stromatolites are at Meridiani I believe.
: >
: > Wouldn't life on Mars really necessitate an actual
: > witnessing of a birth/reproduction of some sort? I mean
: > fossils, though exciting from the sense that life once
: > existed, are not the same as actual life. Petrified wood is
: > cool, but don't you prefer a living tree?
: >
: > Eric
: >
: >
: >
: > : Jonathan
: >
: >
: > : http://www.calresco.org/sos/sosfaq.htm
: > : http://users.ox.ac.uk/~quee0818/complexity/complexity.html
: > : http://www.pscs.umich.edu/
: > : http://www.pscs.umich.edu/
: > : http://www-chaos.umd.edu/
: >
: > : http://www.calresco.org/
: >
: >
: > : s
: >
: >
: > : >
: > : > Eric
: > : >
: > : > : Jonathan
: > : >
: > : > : s
: > : >
: > : >
: > : > : An Introduction to Complex Systems
: > : > : Torsten Reil, Department of Zoology, University of Oxford
: > : > : http://users.ox.ac.uk/~quee0818/complexity/complexity.html
: > : >
: > : >
: > : >
: > : >
: > : >
: > : >
: > : >
: > : >
: > : >
: > : >
: > : >
: > : >
: >
: >

Relevant Pages

  • Re: The Grand Unified Theory! C and C Please!
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