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PSYART  August 2001, Week 4

PSYART August 2001, Week 4

Subject:

Baby HAL

From:

Norman Holland <[log in to unmask]>

Reply-To:

Institute for Psychological Study of the Arts <[log in to unmask]>

Date:

Sat, 25 Aug 2001 15:01:03 -0400

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (157 lines)

From:
        "Ron Blue" <[log in to unmask]>

Fri 9:19 PM



> From:
>         "HIDINGER, CAROL A. (JSC-SL) (FTN)"
<[log in to unmask]>
>
> Wed 2:42 PM
>
> More information on machine children.
>  http://www.wired.com/news/technology/0%2C1282%2C46171%2C00.html
> -----

Baby HAL

All thought originates in physical movement.  A thought is like the global
perception of a design in clay formed by a pendulum after an earthquake.

This concept was first reveal by Jean Piaget in his theory of cognitive
development.  The basic concept being a weighted history of the past created
by
assimilation and accommodation or adapting one's internal representations or
schema due to feedback from interacting with the world.
I translated this a little to incorporate ideas developed by computer people
in an effort to understand this principle's application to robotics.

Will a creative conscious AI have a superego, ego, and id?  Yes, it could if
it has a Neutronics or positronics memory system.

Dynamic psychological states that integrate huge amounts of information into
a dichotomy of one/many would form structures that could be thought of as an
ego, superego and id.  So creative conscious AI would act as if they have
these structures.  They also would act as if they had a parent/adult/child.
Personality is nothing but a stable learned and biologically vectored
oscillon.  Oscillons are a local memory expression in a dynamic local/gobal
systemic memory system using wavelets and encoded information or experience.

To illustrate wavelet interference consider Zwaadermaker Conjugates. In 1890
Zwaadermaker revealed that chemicals exist that when presented separately
can be smelled but when presented together cancel each other out. This is
like a wavelet filter model.

So a real HAL can be built but using concepts that are rather strange to
people raised in a black/white world of on/off.  The procedures for building
a wavelet system currently can not be revealed due to patent standing
application, but general concepts may be revealed.  I have listed the
articles in order of their importance to an uninformed observer at
http://turn.to.ai or
http://home.talkcity.com/LaGrangeLn/ronaldblue/index.html

Major problems with our wavelet interference memory system is the memory is
non-addressable and the output is fuzzy probabilities which control motor
movement. Another problem is the tremendous expense in building the linear
string memory or linear trap used for weighted harmonic memory storage.
Another major problem is the robot must learn exactly as we do. Memory is
dynamic and limited by the Paul rf time to push the weighted entangled
memory to the lowest level. While quite expensive this could be done for a
memory system of 45 years. The biggest problem is that no safety protocol
can be built in the system. If this technology is used to make killer robots
that are allowed to share information and have no off switch, it could
result in terminator robots with their own goals.

I am currently revising my article on Essentials of Learning in Conscious AI
and Biological Systems.

Major concepts include the following:

"Consider the whole as one and the one is made of parts.  Entanglement is
another way of saying that the whole is greater than the sum of its parts.
By starting with a large number of qubits, or all the possible
configurations of spin states of all the electrons/positive holes in a
redundant linear trap and Paul rf traps of NPN transistors, one can use the
whole to form useful quantum calculations if the inputs are quantitized and
the calculation is split into half. The deflection or pathways consist of
two qualities - resembling positive and negative wavelet vectors.
Information is always positive but interacts through interference.
Information is never lost but at certain times and locations appears to be a
supersymmetry zero, a high positive-vector fuzzy value approaching one, and
a high negative-vector fuzzy value approaching one.  In other words,
supersymmetry zero is similar to information deflected into two directions -
1/2 positive-vector and 1/2 negative-vector quantitized information. The
name Neutronics was chosen to represent this reality of making calculations
using interference wavelets resulting in zero or entangled quantum
superpositions in positive holes. "
>>>>cut>>>>>>
"A transistor has some important qualities that allow it to be used as a
quantum computer. Consider, for example, the short distance between the
positive charge side and the negative charge side; this allows the formation
of very high capacitance. Also, consider the reverse flow of positive holes
and the Hall effect as an oppositional balancing and calculating force. Also
consider the high resistance to reverse current flow which is different from
a traditional capacitor.   Notice that it easily divides information into 
and .  Notice that it can also be viewed as a paradoxical 1/3, 1/3, and 1/3
system.  There are two negative sides and one positive middle.  Remember we
are using the positive holes to function as a supersymmetry or superposition
quantum storage of information.   In other words the circuit is so arranged
that the positive holes in superposition are redundant and can rebuild the
information due to quantum entanglement.  It is difficult to explain quantum
information to people but I must try in order for you to grasp the
importance of these relationships.   A nickel when flipped will land on its
head or tails.  This is  and  informational system.  A nickel can also
land on its edge and remain there.  One observer on one side will see an
head and another observer on the other side will see a tail.  I might say
one of the observers collapsed the quantum object or nickel into a
particular interpretation.  It is difficult to know which observer did this
because time and causality is reversible.  Notice from this frame of
reference the nickel on its edge is in a superposition of tail/heads leading
to a strange relationships of 1/3, 1/3, and 1/3.  Quantum objects remember
all the details of chance and observations regardless of position in space
or time.  All objects are in reality like a quantum nickel.  Another example
is a simple illusion  of relationships.  Consider the series   (12)  (13)
(14) and (A)  (13)  (C).  The quantum object (13) can have many collapsed
observations entangling its information with many other quantum objects.
The quantum object (13) remains true to itself but remembers its weighted
history which would form a Gaussian distribution with infinite tails.  In
the universe of numbers the quantum object (13) is perceived as thirteen.
In the universe of letters the quantum object (13) is perceived as the
letter B.  In the universe of primitive people the quantum object (13) may
be perceived as an animal.  All frames of observation are correct relative
to the observer.  The quantum object "remembers" the choices in all the
universes as a weighted history of probabilities.   These weighted histories
influence future observations.  Quantum objects may also oscillate in time.

Quantum information can be encoded on a transistor as a unique pattern of
positions of holes and electrons in a transistor acting as a charge coupling
device. That oppositional information is equal to about 3.24 trillion qubits
in a standard NPN transistor that can be used to generate readable fuzzy
values that can be used to control output in a self controlling and
organizing system.  Thought begins in physical movement and self-control.
Consciousness begins with an awareness of our impact on the world or I am.

Information is oppositional or acting as an opponent to each other and is
therefore in balance over the power spectrum of the machine. This describes
precisely the state of affairs that the brain models according to the
Correlational Opponent Processing theory because of the nature of how
stacking information in quantitized into oppositional steps. Information
formed in the circuit consist of an activating wavelet or stimulus and an
opponent wavelet formed from the weighted memory stored in the system.
Notice there is a delay in the feedback of the negative wavelet or
oscillation. Memory wavelets then filter or neutralize incoming information
that is congruent. This allows information that is novel or new to proceed.
This results in a total scenario of Correlational Oppositional Ratio
Enhanced processing of information. The equation for one cycle of memory
then resembles the following:

T= 3.24 trillion qubits
 T= 1/2Ta + 1/2Tb
 1/2Ta = (3.24 trillion qubits - input stimulus)/2 + input stimulus
 1/2Tb = (3.24 trillion qubits + input stimulus)/2 - input stimulus

Packets of information or harmonics of information and consciousness would
resemble oscillons. (Umbanhowar's Home Page and movie of a oscillon is at
http://super.phys.northwestern.edu/~pbu/) ."

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December 2005, Week 1
November 2005, Week 5
November 2005, Week 4
November 2005, Week 3
November 2005, Week 2
November 2005, Week 1
October 2005, Week 5
October 2005, Week 4
October 2005, Week 3
October 2005, Week 2
October 2005, Week 1
September 2005, Week 5
September 2005, Week 4
September 2005, Week 3
September 2005, Week 2
September 2005, Week 1
August 2005, Week 5
August 2005, Week 4
August 2005, Week 3
August 2005, Week 2
August 2005, Week 1
July 2005, Week 5
July 2005, Week 4
July 2005, Week 3
July 2005, Week 2
July 2005, Week 1
June 2005, Week 4
June 2005, Week 3
June 2005, Week 2
June 2005, Week 1
May 2005, Week 4
May 2005, Week 3
May 2005, Week 2
May 2005, Week 1
April 2005, Week 5
April 2005, Week 4
April 2005, Week 3
April 2005, Week 2
April 2005, Week 1
March 2005, Week 5
March 2005, Week 4
March 2005, Week 3
March 2005, Week 2
March 2005, Week 1
February 2005, Week 4
February 2005, Week 3
February 2005, Week 2
February 2005, Week 1
January 2005, Week 5
January 2005, Week 4
January 2005, Week 3
January 2005, Week 2
January 2005, Week 1
December 2004, Week 5
December 2004, Week 4
December 2004, Week 3
December 2004, Week 2
December 2004, Week 1
November 2004, Week 5
November 2004, Week 4
November 2004, Week 3
November 2004, Week 2
November 2004, Week 1
October 2004, Week 5
October 2004, Week 4
October 2004, Week 3
October 2004, Week 2
October 2004, Week 1
September 2004, Week 5
September 2004, Week 4
September 2004, Week 3
September 2004, Week 2
September 2004, Week 1
August 2004, Week 5
August 2004, Week 3
August 2004, Week 2
August 2004, Week 1
July 2004, Week 5
July 2004, Week 4
July 2004, Week 3
July 2004, Week 2
July 2004, Week 1
June 2004, Week 4
June 2004, Week 3
June 2004, Week 2
June 2004, Week 1
May 2004, Week 5
May 2004, Week 4
May 2004, Week 3
May 2004, Week 2
May 2004, Week 1
April 2004, Week 5
April 2004, Week 4
April 2004, Week 3
April 2004, Week 2
April 2004, Week 1
March 2004, Week 5
March 2004, Week 4
March 2004, Week 3
March 2004, Week 2
March 2004, Week 1
February 2004, Week 4
February 2004, Week 3
February 2004, Week 2
February 2004, Week 1
January 2004, Week 5
January 2004, Week 4
January 2004, Week 3
January 2004, Week 2
January 2004, Week 1
December 2003, Week 5
December 2003, Week 4
December 2003, Week 3
December 2003, Week 2
December 2003, Week 1
November 2003, Week 5
November 2003, Week 4
November 2003, Week 3
November 2003, Week 2
November 2003, Week 1
October 2003, Week 5
October 2003, Week 4
October 2003, Week 3
October 2003, Week 2
October 2003, Week 1
September 2003, Week 5
September 2003, Week 4
September 2003, Week 3
September 2003, Week 2
September 2003, Week 1
August 2003, Week 5
August 2003, Week 4
August 2003, Week 3
August 2003, Week 2
August 2003, Week 1
July 2003, Week 5
July 2003, Week 4
July 2003, Week 3
July 2003, Week 2
July 2003, Week 1
June 2003, Week 4
June 2003, Week 3
June 2003, Week 2
June 2003, Week 1
May 2003, Week 5
May 2003, Week 4
May 2003, Week 3
May 2003, Week 2
May 2003, Week 1
April 2003, Week 5
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April 2003, Week 3
April 2003, Week 2
April 2003, Week 1
March 2003, Week 5
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March 2003, Week 3
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March 2003, Week 1
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February 2003, Week 3
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February 2003, Week 1
January 2003, Week 5
January 2003, Week 4
January 2003, Week 3
January 2003, Week 2
January 2003, Week 1
December 2002, Week 5
December 2002, Week 4
December 2002, Week 3
December 2002, Week 2
December 2002, Week 1
November 2002, Week 5
November 2002, Week 4
November 2002, Week 3
November 2002, Week 2
November 2002, Week 1
October 2002, Week 5
October 2002, Week 4
October 2002, Week 3
October 2002, Week 2
October 2002, Week 1
September 2002, Week 5
September 2002, Week 4
September 2002, Week 3
September 2002, Week 2
September 2002, Week 1
August 2002, Week 5
August 2002, Week 4
August 2002, Week 3
August 2002, Week 2
August 2002, Week 1
July 2002, Week 5
July 2002, Week 4
July 2002, Week 3
July 2002, Week 2
June 2002, Week 4
June 2002, Week 3
June 2002, Week 2
June 2002, Week 1
May 2002, Week 5
May 2002, Week 4
May 2002, Week 3
May 2002, Week 2
May 2002, Week 1
April 2002, Week 5
April 2002, Week 4
April 2002, Week 3
April 2002, Week 2
April 2002, Week 1
March 2002, Week 5
March 2002, Week 4
March 2002, Week 3
March 2002, Week 2
March 2002, Week 1
February 2002, Week 4
February 2002, Week 3
February 2002, Week 2
February 2002, Week 1
January 2002, Week 5
January 2002, Week 4
January 2002, Week 3
January 2002, Week 2
January 2002, Week 1
December 2001, Week 5
December 2001, Week 4
December 2001, Week 3
December 2001, Week 2
December 2001, Week 1
November 2001, Week 5
November 2001, Week 4
November 2001, Week 3
November 2001, Week 2
November 2001, Week 1
October 2001, Week 5
October 2001, Week 4
October 2001, Week 3
October 2001, Week 2
October 2001, Week 1
September 2001, Week 5
September 2001, Week 4
September 2001, Week 3
September 2001, Week 2
September 2001, Week 1
August 2001, Week 5
August 2001, Week 4
August 2001, Week 3
August 2001, Week 2
August 2001, Week 1
July 2001, Week 4
July 2001, Week 3
July 2001, Week 2
July 2001, Week 1
June 2001, Week 5
June 2001, Week 4
June 2001, Week 3
June 2001, Week 2
June 2001, Week 1
May 2001, Week 5
May 2001, Week 4
May 2001, Week 3
May 2001, Week 2
May 2001, Week 1
April 2001, Week 5
April 2001, Week 4
April 2001, Week 3
April 2001, Week 2
April 2001, Week 1
March 2001, Week 5
March 2001, Week 4
March 2001, Week 3
March 2001, Week 2
March 2001, Week 1
February 2001, Week 4
February 2001, Week 3
February 2001, Week 2
February 2001, Week 1
January 2001, Week 5
January 2001, Week 4
January 2001, Week 3
January 2001, Week 2
January 2001, Week 1
December 2000, Week 5
December 2000, Week 4
December 2000, Week 3
December 2000, Week 2
December 2000, Week 1
November 2000, Week 5
November 2000, Week 4
November 2000, Week 3
November 2000, Week 2
November 2000, Week 1
October 2000, Week 5
October 2000, Week 4
October 2000, Week 3
October 2000, Week 2
October 2000, Week 1
September 2000, Week 5
September 2000, Week 4
September 2000, Week 3
September 2000, Week 2
September 2000, Week 1
August 2000, Week 5
August 2000, Week 4
August 2000, Week 3
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August 2000, Week 1
July 2000, Week 5
July 2000, Week 4
July 2000, Week 2
July 2000, Week 1
June 2000, Week 5
June 2000, Week 4
June 2000, Week 3
June 2000, Week 2
June 2000, Week 1
May 2000, Week 5
May 2000, Week 4
May 2000, Week 3
May 2000, Week 2
May 2000, Week 1
April 2000, Week 5
April 2000, Week 4
April 2000, Week 3
April 2000, Week 2
April 2000, Week 1
March 2000, Week 5
March 2000, Week 4
March 2000, Week 3
March 2000, Week 2
March 2000, Week 1
February 2000, Week 4
February 2000, Week 3
February 2000, Week 2
February 2000, Week 1
January 2000, Week 5
January 2000, Week 4
January 2000, Week 3
January 2000, Week 2
January 2000, Week 1
December 1999, Week 5
December 1999, Week 4
December 1999, Week 3
December 1999, Week 2
December 1999, Week 1
November 1999, Week 5
November 1999, Week 4
November 1999, Week 3
November 1999, Week 2
November 1999, Week 1
October 1999, Week 5
October 1999, Week 4
October 1999, Week 3
October 1999, Week 2
October 1999, Week 1
September 1999, Week 5
September 1999, Week 4
September 1999, Week 3
September 1999, Week 2
September 1999, Week 1
August 1999, Week 5
August 1999, Week 4
August 1999, Week 3
August 1999, Week 2
July 1999, Week 5
July 1999, Week 4
July 1999, Week 3
June 1999, Week 4
June 1999, Week 3
June 1999, Week 2
June 1999, Week 1
May 1999, Week 5
May 1999, Week 4
May 1999, Week 3
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April 1999, Week 5
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April 1999, Week 3
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April 1999, Week 1
March 1999, Week 5
March 1999, Week 4
March 1999, Week 3
March 1999, Week 2
March 1999, Week 1
February 1999, Week 4
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February 1999, Week 2
February 1999, Week 1
January 1999, Week 5
January 1999, Week 4
January 1999, Week 3
January 1999, Week 2
January 1999, Week 1
December 1998, Week 5
December 1998, Week 4
December 1998, Week 3
December 1998, Week 2
December 1998, Week 1
November 1998, Week 5
November 1998, Week 4
November 1998, Week 3
November 1998, Week 2
November 1998, Week 1
October 1998, Week 5
October 1998, Week 4
October 1998, Week 3
October 1998, Week 2
October 1998, Week 1
September 1998, Week 5
September 1998, Week 4
September 1998, Week 3
September 1998, Week 2
September 1998, Week 1
August 1998, Week 4
August 1998, Week 3
August 1998, Week 2
August 1998, Week 1
July 1998, Week 4
July 1998, Week 3
July 1998, Week 2
July 1998, Week 1
June 1998, Week 5
June 1998, Week 4
June 1998, Week 3
June 1998, Week 2
June 1998, Week 1
May 1998, Week 5
May 1998, Week 4
May 1998, Week 3
May 1998, Week 2
May 1998, Week 1
April 1998, Week 5
April 1998, Week 4
April 1998, Week 3
April 1998, Week 2
April 1998, Week 1
March 1998, Week 5
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March 1998, Week 3
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March 1998, Week 1
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February 1998, Week 1
January 1998, Week 5
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January 1998, Week 3
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January 1998, Week 1
December 1997, Week 5
December 1997, Week 4
December 1997, Week 3
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December 1997, Week 1
November 1997, Week 4
November 1997, Week 3
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November 1997, Week 1
October 1997, Week 5
October 1997, Week 4
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October 1997, Week 1
September 1997, Week 5
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September 1997, Week 3
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September 1997, Week 1
August 1997, Week 5
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August 1997, Week 3
August 1997, Week 2
August 1997, Week 1
July 1997, Week 4
July 1997, Week 3
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June 1997, Week 4

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