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Why Science is Ridiculous

J

John Larkin

Hilarious. He's typing this on a GHz PC, with billions of mosfets
working flawlessly, posting through fiberoptic links and satellites,
with the help of hundreds of millions of lines of code, and he's only
alive because of antibiotics, agriculture, and immensely complex
social and physical structures.

All of which work. Almost none of which he understands.

John
 
D

Donald

John said:
Hilarious. He's typing this on a GHz PC, with billions of mosfets
working flawlessly, posting through fiberoptic links and satellites,
with the help of hundreds of millions of lines of code, and he's only
alive because of antibiotics, agriculture, and immensely complex
social and physical structures.

All of which work. Almost none of which he understands.

John
Maybe the OP is one of those from the "GOD trumps science." thread.
 
J

Jonathan

Scientists working in one field don't
know all the information in another field, and the popular science
often disagrees with other science. It happens all the time.

We literally know nothing, and live in a sea of technology no one
understands.


I would agree there is a problem with the current methods
of unraveling the mysteries of our existence. The primary
problem is in our timeless habit of reducing to parts
as a first step.

People confuse data with wisdom. Just walk into any
university today and ask yourself the following question.
Is it possible for any...one..person to fully digest and
comprehend the totally of all the disciplines and data???

Of course not, no /one/ person has that ability.

Then ask yourself another question. Every day
what happens to the total data and knowledge?
It increases, and with it the disciplines become
more detailed, specialized and numerous.

So, our method of reducing to parts creates a
relationship where the possibility of true wisdom
a 'grand theory'....decreases...every single day
that goes by.

Or, reducing to parts as a method of understanding
generates data that goes towards infinity over time.

The answer to this problem is rather simple, if
reducing to parts generates an incomprehensible
mound of data, most of it useless to those outside
the narrow specialty. Then the solution is to merely
inverse our method of understanding, we expand
to system behavior first, instead of first reducing
to the part details.

Instead of part details generating our scientific laws.
System behavior should be our first source of
knowledge.

This is essentially what chaos theory, now called
complexity science, is doing.

Self-organizing system faq
http://www.calresco.org/sos/sosfaq.htm

Dynamics of Complex Systems
full online text
http://necsi.org/publications/dcs/index.html

Calresco.org
http://www.calresco.org/concept.htm


It's inversing the classical scientific method in a rigorous way.
Which is why it's so hard for classical thinkers to accept complexity
science as being a true science. As precision gives way to
pattern recognition. Objectivity is replaced with subjective descriptions.
And it's assumed nothing directly maps or ever precisely repeats.

To embrace the new way of understanding nature
one has to ...temporarily...abandon all they have
been taught from day one. One has to forget all
the truths they currently 'know' exist.

You have to be able to start over from scratch, with
NO BELIEFS. Then learn a new way from the ground up.

Something rather wonderful happens when you do that.

As one expands to the whole, the disciplines begin
to merge into one. The laws governing this supra-science
become ever simpler and fewer. In the end you're destined
to converge on a single idea, a single concept and method
for all questions.

All of them.

But you don't have to give up your classical ideas for long.

As complexity science 101 begins just on the other side
of all the classical brick walls. And, in time, the two
meet up again. And once they do, you'll never see
the world the same way again.

You'll suddenly realize just how completely backwards
science has it right now. The fundamental laws of the
physical universe should be derived from life.

NOT the other way around.

Darwinian evolution, the same concepts we all know and
love, have been placed in abstract mathematical form
by the chaos and complexity sciences. And it is DARWIN
.....the system properties displayed by the most ...complex...
the universe has to offer, which defines our universe.

ALL THIS TIME everyone seems to assume the....simplest...
the universe has to offer is the source of fundmemtal law.

That is completely wrong, exacty backwards in fact.
A very simple frame of reference mistake made
centuries ago out of necessity has us still mired
in Dark Age beliefs. We've been assuming we have
to understand oh...quarks to grasp a quasar.

It's the other way around, we have understand the whole
first, then the parts later. Only in this way can we
begin to truly contemplate creating a Grand Unified Theory
that not only merges quantum and classical behavior.
But also includes....life. All three in one idea is now
possible with complexity science. They've already done
it in fact, it's just no one believes it because they don't
understand how they got there.

It's true, try out the ideas of complexity science if you dare.
It's done wonders for me, I'm two inches taller and even
have whiter teeth~


Jonathan


s
 
J

John Kepler

It's true, try out the ideas of complexity science if you dare.

Is "complexity science" yet another method to expel a great deal of
verbiage....and say absolutely nothing? If that's the case....it's nothing
new and just a warmed-over permutation of, "If you can't dazzle'um with
brilliance, baffle'um with bullshit!".

John
 
J

Jonathan

John Kepler said:
Is "complexity science" yet another method to expel a great deal of
verbiage....and say absolutely nothing?


Nothing? Is your reading as mindless as your response?
I asserted that the fundamental laws of the universe should
be derived from the most complex the universe has to offer.
Which are living systems. Instead of the ...simplest...the
unverse has to offer as is our habit.

And I also explained why we should inverse our current
scientific method. I introduced how to do that also.
While providing links to established scientific sources
to provide credibility and more detailed reading.

In short, I've given you a book, and you can only
.....chew on the cover.


Jonathan

s
 
J

John Larkin

Is "complexity science" yet another method to expel a great deal of
verbiage....and say absolutely nothing?

No, it's the study of the behavior of complex, highly nonlinear
systems. Turns out that apparently chaotic behavior often has
fundamental mathematical properties that appear in many very different
contexts.

John
 
J

John Kepler

No, it's the study of the behavior of complex, highly nonlinear
systems. Turns out that apparently chaotic behavior often has
fundamental mathematical properties that appear in many very different
contexts.

True! But that isn't what he was talking about....he just attached the
moniker to a bunch of mumbo-jumbo far closer to the "baffle'um with
bullshit" motiff than non-linear systems.


John
 
J

Jonathan

John Larkin said:
No, it's the study of the behavior of complex, highly nonlinear
systems. Turns out that apparently chaotic behavior often has
fundamental mathematical properties that appear in many very different
contexts.


RIght. But when you run with these concepts it becomes even
more profound a discovery. You first have to understand what
is meant by complexity in this new science. Normally we imagine
a linear scale from zero to infinity to judge how complex or really
how ...complicated some system is. On one end of this
complexity scale we have Newton, with few variables and
fairly simple deterministic rules. On the opposite end we
have quantum theory, where there are too many variables
and chaotic motion so we use statistical forms
of methods.

Old linear complexity scale

min...............................................>......maximum
simple...........................................>.....complicated
newtonian mechanics......................>....quantum mechanics



But complex now means a system that has too many variables
for a classical solution, but too few for a statistical treatment.
Complex is where neither established mathematics works, it
is ..between... the two.

So, the new definition of complexity no longer has one minimum
and one maximum.


Non linear complexity scale


min................................>...max....<....................min
simple...........................>...complex...<...............simple
newtonian mechanics......>...thermodynamics...<........quantum mech


In the new definition of complexity, complex now has ...two minimums
and one maximum. And the max resides where neither simple opposite
type of mathematics, newtonian and quantum, can provide a solution.


The above paradigm is more commonly described in attractor
theory as

static........dynamic.......chaotic


But here is the big discovery. A system becomes complex in the new meaning
when it resides at the point where it is the most difficult to precisely
quantify.
Where uncertainty is greatest, is where complexity is greatest.

And where complexity is greatest, spontaneous cyclic order emerges.

As if like magic, the one place where classical reductionist methods
are at their most futile, is the one place where self organization or
......evolution...get's it's intitial impetus and driving forces.

Guys, the source of all order is ultimately randomness. The second
law provides this steady source of increasing disorder or randomness.
And this is the food for the Fourth Law of Thermodynamics....
.....self organization.....DARWIN.

This is true for the physical universe as it is for the living.

From the fog of maximum system uncertainty comes evolution.
From chaos comes order. The answers to the timeless or
ultimate questions cannot be precisely or objectively known.
Only through subjective methods. All of us have to learn
how to subjectively see the same thing, this is possible
now.

If you care to read about an entirely new cosmology based
on these ideas....click below. Read about the cyclic universe
from one of the most respected cosmology team to be found.
Steinhardt and Turok of Princeton and Cambridge

Paul J. Steinhardt
http://www.physics.princeton.edu/~steinh/


I'm not making this stuff up, just preaching it with
the bombast it deserves.



s
 
J

Jonathan

John Kepler said:
True! But that isn't what he was talking about....he just attached the
moniker to a bunch of mumbo-jumbo far closer to the "baffle'um with
bullshit" motiff than non-linear systems.'


Perhaps you could provide an example of what you find
to be nonsense. I'm trying to introduce the core ideas without
the math, in plain english. After all, equations are merely
shorthand.

I made some pretty big claims, I think I can back them up.
 
J

John Larkin

RIght. But when you run with these concepts it becomes even
more profound a discovery. You first have to understand what
is meant by complexity in this new science. Normally we imagine
a linear scale from zero to infinity to judge how complex or really
how ...complicated some system is. On one end of this
complexity scale we have Newton, with few variables and
fairly simple deterministic rules. On the opposite end we
have quantum theory, where there are too many variables
and chaotic motion so we use statistical forms
of methods.

Old linear complexity scale

min...............................................>......maximum
simple...........................................>.....complicated
newtonian mechanics......................>....quantum mechanics



But complex now means a system that has too many variables
for a classical solution, but too few for a statistical treatment.
Complex is where neither established mathematics works, it
is ..between... the two.

So, the new definition of complexity no longer has one minimum
and one maximum.


Non linear complexity scale


min................................>...max....<....................min
simple...........................>...complex...<...............simple
newtonian mechanics......>...thermodynamics...<........quantum mech


In the new definition of complexity, complex now has ...two minimums
and one maximum. And the max resides where neither simple opposite
type of mathematics, newtonian and quantum, can provide a solution.


The above paradigm is more commonly described in attractor
theory as

static........dynamic.......chaotic


But here is the big discovery. A system becomes complex in the new meaning
when it resides at the point where it is the most difficult to precisely
quantify.
Where uncertainty is greatest, is where complexity is greatest.

And where complexity is greatest, spontaneous cyclic order emerges.


http://en.wikipedia.org/wiki/Image:Mandel_zoom_11_satellite_double_spiral.jpg



John
 
B

Bob Myers

Nothing? Is your reading as mindless as your response?
I asserted that the fundamental laws of the universe should
be derived from the most complex the universe has to offer.

Can you explain why this should be so? Do you expect
that the "most complex the universe has to offer" are
somehow governed by laws which are different from those
which govern the simpler things? If so, how? If not, then
we should be studying the simplest systems which would
reveal the nature of those laws, to remove unnecessary
complications from the observation.
Which are living systems.

Actually, this is an assumption on your part. You cannot
know that "living systems" are "the most complex the
universe has to offer," simply because they are the most
complex that you are aware of (based on observations which
by necessity are limited to this tiny little speck out of the
entire universe). Of course, you could assert that this
doesn't matter, because we assume that the universe is
the same everywhere, and the laws apply equally well
to all things - at which point, you're back to the first
argument, above.

And I also explained why we should inverse our current
scientific method. I introduced how to do that also.

I read your previous post, but I am afraid that from it
(or the sources you cited), I cannot determine exactly
what you mean by "inverse (sic) our current scientific
method," let alone determine why it is that you think
this should be so.


Bob M.
 
J

Jonathan

Bob Myers said:
Can you explain why this should be so? Do you expect
that the "most complex the universe has to offer" are
somehow governed by laws which are different from those
which govern the simpler things? If so, how?


Great question. In a complexity perspective, the laws
would be derived from system properties, not part details.
In particular those system properties which are emergent.
For instance, a market system has certain emergent
system properties we all recognize. Adaptability, resilience
self tuning feedback mechanisms and so on.

The minute you stop such a system to detail it's components
those emergent system properties /vanish/ into thin air.
They can only be studied while the system is operating
and cannot be discerned from a detailed look at the
system parts.

And it is those 'ethereal' system properties which provide
the overall direction of the universe towards more order
over time. They are the most important properties of all
and they are completely invisible to classical objective
methods. I'm not saying emergence is a new idea, only
that complexity science has managed to create a universal
method of dealing with all emergent properties of any
real world complex dynamic system.

So now we have a single scientific language and set
of rules to apply to any real world system.

Concept
http://www.calresco.org/concept.htm

Every discipline has their own way of dealing with such
emergent system properties. Whether in sociology
or psychology or the business world, weather
forecasting, politics and on and on. Each has their own
unique languages and laws to describe various system
behavior.

Not anymore!

And the astonishing thing that happens once you can
examine such disparate systems with a single science
is that you suddenly realize they all...ALL are essentially
special cases of a ..single ..universal ..system ..behavior.

Everywhere you look, in pretty much any discipline at all
from cosmology to stock trading to religion all find their
....ideal form..or solution from a common system structure.

The complex adaptive system

What are Complex Adaptive Systems?
http://www.trojanmice.com/articles/complexadaptivesystems.htm


This is a science that is all about creating things, not
figuring out how things were created.

If not, then
we should be studying the simplest systems which would
reveal the nature of those laws, to remove unnecessary
complications from the observation.


The most important behaviors or laws in the universe
cannot be revealed by the part details, only by an
intact and operating whole. By reducing to parts
first in order to understand the system, you end
up with countless specialties and an infinite
amount of unique data.

By expanding to system behavior, the output, you converge
on a single pattern of behavior for all real world dynamic
systems. Which pretty much covers everything in the
real live world.

Complexity science, once you understand the core concepts
and have practiced applying it to different fields, can be
applied to just about any discipline at all.

Learn just one science and you learn...them all.

And this science is spreading fast and into everything.
The US govt is one of the first and largest entities
to embrace and apply these concepts.

As to why so few people seem to chat about complexity
science. Well...if you learned something that really worked
well....wouldn't you keep it to yourself and go quietly
about putting it to good personal use?

Don't believe me? Here's a dated list of US govt agencies
using complexity science. The point here is not so much
how many agencies are using it, but how they reach from
one end of the spectrum to the other.


The use of Complexity Science
http://www.hcs.ucla.edu/DoEreport.pdf

Actually, this is an assumption on your part. You cannot
know that "living systems" are "the most complex the
universe has to offer," simply because they are the most
complex that you are aware of (based on observations which
by necessity are limited to this tiny little speck out of the
entire universe).


Ok, in the known universe. But life is certaintly complex enough
for us to grasp the concepts. And complexity science makes
it easy to visualize the various levels of complexity, in either
direction, by using emergence.

What emerges from life is the next higher level of complexity.
Intelligence emerges from life, and wisdom from collective
intelligence and so on. Maybe eventuall even a god will
emerge from the collective weight of human evolution.

Hmm, a religion where god comes at the end of the
evolutionary ladder. I mean if you truly believe in Darwin...

Of course, you could assert that this
doesn't matter, because we assume that the universe is
the same everywhere, and the laws apply equally well
to all things - at which point, you're back to the first
argument, above.



I read your previous post, but I am afraid that from it
(or the sources you cited), I cannot determine exactly
what you mean by "inverse (sic) our current scientific
method," let alone determine why it is that you think
this should be so.


Study the output first, system behavior, as a means to
understand the components later. Instead of the other
way around. But this inverse frame of reference must
be rigorously applied at each step. Subjectivity replaces
objectivity, generic patterns replace precise measurements.
The future becomes the source of study, instead of the past.
And so on.
 
J

Jonathan

David Brown said:
Jonathan wrote:


I had a little look at that website - there's lots of interesting stuff
there, and it will be worth exploring when I get the time. But the
cyclic universe theory is nothing more dramatic than an alternative
scientific theory about the long-term history of the universe. It's not
any sort of "new science" or other such mumbo-jumbo - it's a good, solid
scientific theory formed by looking for explanations for observed facts
and data. Steinhardt, being a good scientist, does not claim it to be
anything else than that.


The point is that their theory is a dynamic solution using attractor
theory as with complexity science. And their theory has many of
the properties of a complex adaptive system. In an evolving
system, for instance, the initial conditions can vary widely
and the whole will still settle into or is attracted to a probable
final state. Solving the cosmic coincidence problem.

The cycle begins with a totally random or boolean network.
A cold flat universe. Which has the property of generating
spontaneous cyclic behavior. Or galaxy forming pertubations.
When the system behavior reaches criticality, or matter domination
its phase transition point, new properties emerge, such as dark
energy, that cannot be discerned from the detailed look at the
components. The new emergent property or energy feed back
and help tune the system towards stable behavior or a recent
second period of acceleration. As with a new market.

But the new force isn't stable, as such highly dynamic systems
are dissipative, requiring constant energy input to continue.
So the whole dissipates into eons of near nothingless.

A totally random boolean network, the exact conditions
needs for self organization or spontaneous order to emerge.

And the cycle starts over, but it starts not at the bang, but
at the death. If that really matters~


As Steinhardt said...


"Hubble's discovery that the universe is expanding taught us
that the universe is evolving, but the notion had been
that the evolution has been steady over the last 15 billion years
with no remarkable changes. We now know that time is
anti-Copernican. We live at a special moment in cosmic history,
the transition between a decelerating, matter-dominated universe
and an accelerating, dark energy dominated universe. The
progressive formation of ever-larger scale structure and
increasing complexity that characterized the matter-dominated
universe has reached an end, and now the universe is headed
towards a period that is ever-emptier and structureless."

"Quintessence is a dynamical, evolving, spatially inhomogeneous
component with negative pressure (Caldwell et al. 1998). The term
derives from the medieval word for fifth element"; according to some
metaphysicians at the time, the universe consisted of earth, air, fire
water, plus an additional all-pervasive, component that accounted
for the motion of the Moon and planets.) In the current context,
quintessence would be the fifth dynamical component that has in
fluenced the evolution of the universe, in addition to the previously
known baryons, leptons, photons, and dark matter.
http://www.physics.princeton.edu/~steinh/steinhardt.pdf


The universe is a complex place, as are many of its sub-systems. You
can't look at all the small parts and expect to understand the whole as
a result - the organisation is as important as the parts. But that's
all covered by "old-fashioned" science. You certainly can't expect to
get anywhere by staring blindly at a complete system from afar, and
hoping for a flash of inspiration!


But once one understands how so many unique parts and one-off
interactions ...ends up...generating the very same pattern of
behavior across one discipline after another...then the light
switch is turned on like never before.

Don't you see what that relationship is? The more difficult it is to
precisely quantify the components of a system, the more
predictable and stable the system behavior becomes.

Chaos at the component level leads to evolutionary behavior
or increasing order at the system level.

Try to imagine the kind of system that would provide the
biggest difficulties possible to precisely detail the components.
The weather for instance. Or emotions.
It is just that kind of component behavior that generates
the spontaneous cyclic order. The direction of the universe
towards cyclic order.

The big answer is found at the one and only place
objective methods can't see.

Our habit, objective methods, are all about finding certainty
of some kind or another.

But where system ....uncertainty or component chaos is highest
is where self organization or Darwin begins.

So the new way is to search for, and understand, ..uncertainty.
The methods of how to quantify the total system uncertainty
as a means of designing or recognizing the ideal system form.

I mean....the higher the order...the more chaotic are the components.
The universe has a direction and should our methods of
understanding.

Start with the whole in order to understand the parts.
Start with the self tuning properties of a market system
for instance, to see how they guide the behavior and
structure of the parts. You can start off trying to fathom
the universe by counting the number of grapes at the
local market if you like.

But that just seems silly~

Especially when you find out you can't really count
those grapes...exactly.. ala the uncertainty principle.

A principle that is also a HUGE CLUE.


s
 
D

Don Bowey

On 8/30/07 5:42 PM, in article [email protected],

(snip)
Study the output first, system behavior, as a means to
understand the components later. Instead of the other
way around. But this inverse frame of reference must
be rigorously applied at each step. Subjectivity replaces
objectivity, generic patterns replace precise measurements.
The future becomes the source of study, instead of the past.
And so on.
Sounds chaotic.
 
D

David Brown

Jonathan said:
The point is that their theory is a dynamic solution using attractor
theory as with complexity science. And their theory has many of
the properties of a complex adaptive system. In an evolving
system, for instance, the initial conditions can vary widely
and the whole will still settle into or is attracted to a probable
final state. Solving the cosmic coincidence problem.

No, the point is that it makes sense to look at complexity theory and
chaos theory in particular contexts, like for the cyclic universe
theory. It does *not* make sense to throw out every other piece of
science and look at everything as chaos!
Try to imagine the kind of system that would provide the
biggest difficulties possible to precisely detail the components.
The weather for instance. Or emotions.
It is just that kind of component behavior that generates
the spontaneous cyclic order. The direction of the universe
towards cyclic order.

Some sorts of chaotic systems have cyclic patterns - others do not. And
lots of systems are not chaotic at all. Just because you can't figure
out how clouds work (and real scientists have only approximate models),
does not mean that you'll find a grand truth by looking at the universe
as a giant muddle.
The big answer is found at the one and only place
objective methods can't see.

There is no "big answer" to be found - the answer depends on the
question. Read up on your Douglas Adams.
But where system ....uncertainty or component chaos is highest
is where self organization or Darwin begins.

Darwinien evolution does not apply to galaxy formation - there are lots
of different types of self-organization, most of which are simpler than
Darwinien evolution.
 
B

Bob Myers

Great question. In a complexity perspective, the laws
would be derived from system properties, not part details.

Why? How are you distinguishing "system properties" from
"part details."

For example, a 747 is a fairly complex system. One nut
taken from that same 747's gear assembly is clearly a
simple part. If I drop either the 747 or the nut, I will gain
the data necessary to describe how objects fall within a
gravitational field. The complexity of the 747 makes no
difference at all here; it would be relevant only if I wanted
to learn something about how the internal workings of
that system behave, as opposed to its gross externally-
visible properties. Moving up a few levels, I can also
observe/demonstrate the basic principles of aeronautics
through either watching that 747 in operation, watching
a Cessna 172 - although Cessna is undeniably a far simpler
system.

One would think, from considering most examples that
come to mind, that the best way to "derive laws" would
be through the observation of the SIMPLEST system which
provides sufficient data to do so. Or, in other words, one
should not bring in unnecessary complexity into an
experiment without having a good reason for doing so.
In particular those system properties which are emergent.

Precisely; but you do not need the full system to demonstrate
or derive ALL of its properties, only those which might be
considered to be "emergent" at that level of complexity.
For anything less than this, you're better off studying simpler
systems, since they have less potential for generating
irrelevant problems which would complicate the study of
these more basic properties. For example, if I want again
wished to study the BASIC principles of flight, I may be
better off with a much simpler aircraft than a 747, for the
simple reason that it will be easier to operate, more reliable,
and therefore will more readily get me the necessary data.
I would need to turn to the 747, or something similar, though,
if I specifically wanted to study, say, the behavior of autoland
systems in multiengine jet airliners. The complexity of the
system being studied must be sufficient to provide the
relevant data, but certainly should be no more complex than
that. So we still have not justified a belief that we should
always seek the most complex system possible for study.
For instance, a market system has certain emergent
system properties we all recognize. Adaptability, resilience
self tuning feedback mechanisms and so on.

Certainly - and if you wanted to study those, you would
certainly need to look at a sufficiently complex market.
If, on the other hand, you merely wanted to study the very
basics of economic transactions, watching a child's lemonade
stand doing business may suffice.
The minute you stop such a system to detail it's components
those emergent system properties /vanish/ into thin air.
They can only be studied while the system is operating
and cannot be discerned from a detailed look at the
system parts.

Yes - which again argues only for the need to study
complex systems in those cases where we are investigating
properties seen only in those systems, and not in simpler
cases.

And it is those 'ethereal' system properties which provide
the overall direction of the universe towards more order
over time.

Which "system properties" do this, and on what grounds do
you make the above assertion? Until you can identify
them, I am also not sure how you can get to the conclusion
that:
They are the most important properties of all
and they are completely invisible to classical objective
methods.

The most important behaviors or laws in the universe
cannot be revealed by the part details, only by an
intact and operating whole. By reducing to parts
first in order to understand the system, you end
up with countless specialties and an infinite
amount of unique data.

First of all - "most important" in what context? On
what scale? As judged by whom?

An example - the behavior of the force of gravity is
clearly a very important aspect of our universe, as
it controls the paths of moons, planets, stars, and even
entire galaxies; it literally shapes the universe. Yet the
"laws" which describe this behavior are actually rather
simple, and may to a very high degree of accuracy
be derived from observations of much simpler structures
than the universe as a whole. This, then, would seem to
be at least one example which contradicts the above
assertion. It may not be the case that ALL "important
behaviors" can be understood from the simpler cases,
but it is clear that at least one can, and I believe there are
other examples that will readily come to mind if you think
about it.

Complexity science, once you understand the core concepts
and have practiced applying it to different fields, can be
applied to just about any discipline at all.

Learn just one science and you learn...them all.

OK, so if this is true - what IS the single unified
description of the universe offered by this science?
If it is too complicated to outline here, then I would
submit that this strongly suggests that it is NOT a
fundamental behavior or "law," but instead is itself
derivable from simpler principles.

Ok, in the known universe. But life is certaintly complex enough
for us to grasp the concepts. And complexity science makes
it easy to visualize the various levels of complexity, in either
direction, by using emergence.

In that case - how has "complexity science"
explained life?

What emerges from life is the next higher level of complexity.
Intelligence emerges from life, and wisdom from collective
intelligence and so on. Maybe eventuall even a god will
emerge from the collective weight of human evolution.

What do you mean by the symbol "god?"

Study the output first, system behavior, as a means to
understand the components later. Instead of the other
way around. But this inverse frame of reference must
be rigorously applied at each step. Subjectivity replaces
objectivity, generic patterns replace precise measurements.
The future becomes the source of study, instead of the past.
And so on.

You have described your desired process, but I am
afraid this doesn't give us much to go on in terms of
why it should be preferred, or even what it actually means.
Why SHOULD "subjectivity replace objectivity"?
Unless you are using these terms differently in this context,
are you implying that there is NOT such a thing as a single,
shared, objective reality? If that is the case - if the
universe fundamentally subjective rather than objective -
there is very little sense in discussing any of this in the
first place, since we can't possibly be assured of any
common ground on which to base descriptions which
would be useful to more than a single person.

Bob M.
 
J

JosephKK

Bob Myers [email protected] posted to
sci.electronics.design:

You have described your desired process, but I am
afraid this doesn't give us much to go on in terms of
why it should be preferred, or even what it actually means.
Why SHOULD "subjectivity replace objectivity"?
Unless you are using these terms differently in this context,
are you implying that there is NOT such a thing as a single,
shared, objective reality? If that is the case - if the
universe fundamentally subjective rather than objective -
there is very little sense in discussing any of this in the
first place, since we can't possibly be assured of any
common ground on which to base descriptions which
would be useful to more than a single person.

Bob M.

Thanks, Bob. You have done a reasonably good job of exposing the
anti-reason of his exposition. But i doubt that you so much as
dented his mania.
 
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