EFTA02454254.pdf
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From:
Deepak Chopra
Sent:
Wednesday, August 10, 2016 12:58 PM
To:
Jeffrey E.
Subject:
Re: thread
Read the thread
Most of it is too technical so above my head=nbsp; My two bits Information is how consciousness creates ord=r out of
chaos The play of Chaos / Order are complementary =spects of creativity
Deepak Chopr=
Carlsbad, CA 92009 <x-apple-data-detectors://0>
=uper Genes: Unlock the Astonishing Power of Your DNA for Optimum Health and Wellbeing
<http://www.amazon.com/=uper-Genes-Astonishing-Optimum-Well-Being/dp/0804140138/deepakchcom07-20>
On Aug 10, 2016, at 8:48 AM, jeffrey E. <jeevacation@gmail.com <mailto:jeevacation@g=ail.com» wrote:
21 of 187,586
Re:
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Seth Lloyd
6:27 PM (12 hours =go)
=img class="" src="https://mail.google.com/mail/u/0/images/cleardot.gif= alt=""> to
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1. Yes this is 'reversion to the mean' and it definitely h=ppens. This is the basis for what is called an
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entropic force (rubber bands as we discussed)
2. Absolutely: for large numbers of particles, the entropy arguments g=ve rise to macroscopic
statistical quantities like temperature and pressure
3. Yes: and they don't obey the central limit theorem (they are non-Ga=ssian). As we discussed,
there are lots of potential reasons for this. The main on= is that if there is no restriction on
the variance of a distribution the central limit theorem doesn't apply=and so you get power laws
as in the Pareto law for income distribution.
4. I didn't claim I described it well. I'd say one actor =ntentionally hides some information that the
other actor can't decrypt. That is, the first actor is tr=ing to deceive the second in order
to take advantage.
Got to run give a talk for Stewart Brand/Danny Hillis!
Seth
On Tue, Aug 9, 2016 at 8:22 PM, Jeffrey E. <jeevacation@=mail.com <mailto:jeevacation@gmail.com> wrote:
1, re flips. ordering is not my focus. &n=sp; my focus is that the program that says. as you appro=ch
a larger number the total number of ones and zeros ( the fair coin flip.) , should be 50/50/
it is the o=posite of
information as that relates to the individual flips. , I maintain that the distribution of flips=may be described by skewing
. A force that leads t= 50/ 50
2. again re heat.
we cant say anything =bout indiv particles. but we can measure their overall temp
3. social distributions of talents and characteristics,&n=sp; seem to follow the same distribution for
4 deception, relies on the concept of INTENTION.&nb=p; not well desribed.
On Tue, Aug 9, 2016 at 6:08 PM, Seth Lloyd <slloyd@mit.edu <mailto:
> &=t; wrote:
Dear Jeffrey,
It was very fun talking with you the weekend before last. I hav= downloaded The Improvement
of the Mind and am reading. I feel my mind imp=oving already ;-)
years.
and pres=ure
The conversation and your ideas fit in closely with work I've been doi=g and am proposing
to do. Maybe this is not surprising because we've been ta=king about
these topics for years. I've been traveling around (Santa=Fe, now
in San Francisco, soon to be in Banff) and so have had time to think4=iv>
more about what we discussed.
Here is a succinct summary of my own take. I know yours is some=hat
different.
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Information is a fundamental quantity, measured in bits.
Information can be random, like the typical string of bits
one gets by flipping a coin 0101110110101000011
(I just flipped a coin and let heads = 1 and tails = 0),
or it can be ordered, like the bit string 0000000000000000.
There is a technical definition of order and randomness: a bit string<=div>
is ordered if there is a succinctly describable method, e.g.,
a short computer program, for producing it. By contrast,
a string is random if the shortest program for producing it
is the same length as the string itself. For example, the
string consisting of a billion 0's can be produced by a short
program: Print '0' 1(309 times. By contrast, the shortest
program to produce the string 0101110110101000011 is something
like: Print 0101110110101000011. This way of defining
order/randomness is called algorithmic information.
The interesting thing about algorithmic information is that
the short program can be hard to find. A string can look
very random and still have a short program. For example,
the first billion bits of pi, written in binary, have a short
program, but if I just give you those bits, they would look
statistically random.
This means that so far as we or any other information processing
system is concerned, order/randomness is subjective: some information<=div>
can be ordered and non-random, but we may not be able to recognize
the underlying order, so we treat it as random. That is, the ord=r
is cryptic: we don't know how to decode it. This cryptici=y is
the key feature for looking at both physical systems and human/social<=div>
systems.
Physical systems:
In physical systems such as a gas of molec=les, entropy is
the amount of information that is required to describe the underlying<=div>
motions of those molecules. Because the molecules are bou=cing
off each other in an essentially random way, entropy is assumed
to be random information.
Heat is energy that is encumbered by entro=y/randomness.
The randomness makes it harder to take advantage of that energy.
By contrast, free energy is energy where t=e information
required to describe how that energy is arranged is ordered, not
random. Free energy is energy we can take advantage of.
Now comes the kicker: suppose that a syste= is actually
ordered, but that order is cryptic. If we can't decipher =he
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order, we can't take advantage of it.
So whether energy is free or not depends o= our ability
to detect its underlying order. That is, the availability=of
energy depends on the computationall/decrypting ability of whatever
system (molecule, microbe, human) is trying to take advantage
of that energy.
Social/human interactions:
Human interactions are about the exchange =f information, plus
other stuff (goods, services, money, etc.). Everything th=t is
exchanged brings with it the information that describes what is
exchanged, what can be done with it, etc. So for example,=a
US Treasury bond comes with the specification of its price and its fut=re
interest payments.
A complex option comes with the speci=ication
of what can be bought and sold when.
As a result, human interactions are awash =n information. Different
people are capable of decoding/decyphering that information in differe=t
ways. The ability to detect a pattern or order in information t=anslates
into the ability to take advantage of a social situation. =For example,
the efficient market hypothesis states that fluctuations in the prices=/div>
of a given stock should be essentially random. But if you happe= to
possess some information that allows you to predice the future fluctua=ions
of the stock, then you can make money.
Similarly, to play into you ideas about de=eption, when two
actors enter into a transaction, each presents the other with informat=on
about their obligations under the transaction. Each actor=looks
at that information and judges whether the transaction will turn
out to their own advantage. But because each actor perceives di=ferent
patterns in the information, they can come up with different evaluatio=s
of the future worth of the transaction.
Deception arises because one actor may hid= a pattern in the
revealed information, a pattern that the other actor doesn't perceive, div>
but that makes the transaction more advantageous to the first actor.</=iv>
I've been told that this is called, doing business.
Talk some more?
Yours,
Seth
please note
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| Filename | EFTA02454254.pdf |
| File Size | 389.8 KB |
| OCR Confidence | 85.0% |
| Has Readable Text | Yes |
| Text Length | 8,593 characters |
| Indexed | 2026-02-12T17:29:07.204390 |