RE: [agi] Compressed Cross-Indexed Concepts

2010-08-19 Thread John G. Rose
An agent can only flip so many bits per second. If it gets stuck in a
computational conundrum it will waste energy that should be used for
survival purposes and the likelihood for agent death increases. 

 

Avoidance behavior for impossible computation is enforced.

 

Mathematics is a type of database for computational energy storage. All of
us multi-agent intelligences, mainly mathematicians, contribute to it over
time.

 

How long did it take to invent the wheel, but once the pattern is known, it
takes just a few bits to store.

 

That's one obvious method of the leveraging, but this could be, and is, used
all over the place. 

 

John

 

From: Jim Bromer [mailto:jimbro...@gmail.com] 



John

How would a mathematical system that is able to leverage for unnecessary or
impossible computation work exactly.  What do you mean by this?  And how
would this work to produce better integration of concepts and better
interpretation of concepts? 

 

On Fri, Aug 13, 2010 at 4:25 PM, John G. Rose johnr...@polyplexic.com
wrote:



 -Original Message-
 From: Jim Bromer [mailto:jimbro...@gmail.com]


 On Thu, Aug 12, 2010 at 12:40 AM, John G. Rose johnr...@polyplexic.com
 wrote:
 The ideological would still need be expressed mathematically.

 I don't understand this.  Computers can represent related data objects
that may
 be best considered without using mathematical terms (or with only
incidental
 mathematical functions related to things like the numbers of objects.)


The difference between data and code, or math and data, sometimes need not
be as dichotomous.



 I said:  I think the more important question is how does a
general concept
 be interpreted across a range of different kinds of ideas.  Actually this
is not so
 difficult, but what I am getting at is how are sophisticated
 conceptual  interrelations integrated and resolved?

 John said: Depends on the structure. We would want to build it such that
this
 happens at various levels or the various multidimensional densities. But
at the
 same time complex state is preserved until proven benefits show
themselves.

 Your use of the term 'densities' suggests that you are thinking about the
kinds of
 statistical relations that have been talked about a number of times in
this
 group.   The whole problem I have with statistical models is that they
don't
 typically represent the modelling variations that could be and would need
to be
 encoded into the ideas that are being represented.  For example a Bayesian
 Network does imply that a resulting evaluation would subsequently be
encoded
 into the network evaluation process, but only in a limited manner.  It
doesn't for
 example show how an idea could change the model, even though that would be
 easy to imagine.
 Jim Bromer


I also have some issues with heavily based statistical models. When I was
referring to densities I was really meaning an interconnectional
multidimensionality in the multigraph/hypergraph intelligence network, IOW a
partly combinatorial edge of chaos. There is a combination of state and
computational potential energy that an incoming idea, represented as a
data/math combo, would result in various partly self-organizational (SOM)
changes depending on how the key - the idea - effects computational energy
potential. And this is balanced against K-complexity related local extrema.

For the statistical mechanisms I would use for more of the narrow AI stuff
that is needed and also for situations that you can't come up with something
more concrete/discrete.


John



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Re: [agi] Compressed Cross-Indexed Concepts

2010-08-13 Thread Jim Bromer
On Thu, Aug 12, 2010 at 12:40 AM, John G. Rose johnr...@polyplexic.comwrote:

 The ideological would still need be expressed mathematically.


I don't understand this.  Computers can represent related data objects that
may be best considered without using mathematical terms (or with only
incidental mathematical functions related to things like the numbers of
objects.)



 I said:  I think the more important question is how does a general concept
 be interpreted across a range of different kinds of ideas.  Actually this is
 not so difficult, but what I am getting at is how are sophisticated
 conceptual  interrelations integrated and resolved?

 John said: Depends on the structure. We would want to build it such that
 this happens at various levels or the various multidimensional densities.
 But at the same time complex state is preserved until proven benefits show
 themselves.


Your use of the term 'densities' suggests that you are thinking about the
kinds of statistical relations that have been talked about a number of times
in this group.   The whole problem I have with statistical models is that
they don't typically represent the modelling variations that could be and
would need to be encoded into the ideas that are being represented.  For
example a Bayesian Network does imply that a resulting evaluation would
subsequently be encoded into the network evaluation process, but only in a
limited manner.  It doesn't for example show how an idea could change the
model, even though that would be easy to imagine.
Jim Bromer


On Thu, Aug 12, 2010 at 12:40 AM, John G. Rose johnr...@polyplexic.comwrote:

  -Original Message-
  From: Jim Bromer [mailto:jimbro...@gmail.com]
 
 
  Well, if it was a mathematical structure then we could start developing
  prototypes using familiar mathematical structures.  I think the structure
 has
  to involve more ideological relationships than mathematical.

 The ideological would still need be expressed mathematically.

  For instance
  you can apply a idea to your own thinking in a such a way that you are
  capable of (gradually) changing how you think about something.  This
 means
  that an idea can be a compression of some greater change in your own
  programming.

 Mmm yes or like a key.

  While the idea in this example would be associated with a
  fairly strong notion of meaning, since you cannot accurately understand
 the
  full consequences of the change it would be somewhat vague at first.  (It
  could be a very precise idea capable of having strong effect, but the
 details of
  those effects would not be known until the change had progressed.)
 

 Yes. It would need to have receptors, an affinity something like that, or
 somehow enable an efficiency change.

  I think the more important question is how does a general concept be
  interpreted across a range of different kinds of ideas.  Actually this is
 not so
  difficult, but what I am getting at is how are sophisticated conceptual
  interrelations integrated and resolved?
  Jim

 Depends on the structure. We would want to build it such that this happens
 at various levels or the various multidimensional densities. But at the
 same
 time complex state is preserved until proven benefits show themselves.

 John





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Re: [agi] Compressed Cross-Indexed Concepts

2010-08-13 Thread Jim Bromer
It would be easy to relativize a weighted network so that it could be used
to include ideas that can effectively reshape the network (or at least
reshape the virtual network) but it is not easy to see how this could be
done intelligently enough to produce actual intelligence.  But maybe I
should try it sometime just to get some idea of what it would do.
Jim Bromer



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RE: [agi] Compressed Cross-Indexed Concepts

2010-08-13 Thread John G. Rose


 -Original Message-
 From: Jim Bromer [mailto:jimbro...@gmail.com]
 
 On Thu, Aug 12, 2010 at 12:40 AM, John G. Rose johnr...@polyplexic.com
 wrote:
 The ideological would still need be expressed mathematically.
 
 I don't understand this.  Computers can represent related data objects
that may
 be best considered without using mathematical terms (or with only
incidental
 mathematical functions related to things like the numbers of objects.)
 

The difference between data and code, or math and data, sometimes need not
be as dichotomous. 

 
 I said:  I think the more important question is how does a
general concept
 be interpreted across a range of different kinds of ideas.  Actually this
is not so
 difficult, but what I am getting at is how are sophisticated
 conceptual  interrelations integrated and resolved?
 
 John said: Depends on the structure. We would want to build it such that
this
 happens at various levels or the various multidimensional densities. But
at the
 same time complex state is preserved until proven benefits show
themselves.
 
 Your use of the term 'densities' suggests that you are thinking about the
kinds of
 statistical relations that have been talked about a number of times in
this
 group.   The whole problem I have with statistical models is that they
don't
 typically represent the modelling variations that could be and would need
to be
 encoded into the ideas that are being represented.  For example a Bayesian
 Network does imply that a resulting evaluation would subsequently be
encoded
 into the network evaluation process, but only in a limited manner.  It
doesn't for
 example show how an idea could change the model, even though that would be
 easy to imagine.
 Jim Bromer
 

I also have some issues with heavily based statistical models. When I was
referring to densities I was really meaning an interconnectional
multidimensionality in the multigraph/hypergraph intelligence network, IOW a
partly combinatorial edge of chaos. There is a combination of state and
computational potential energy that an incoming idea, represented as a
data/math combo, would result in various partly self-organizational (SOM)
changes depending on how the key - the idea - effects computational energy
potential. And this is balanced against K-complexity related local extrema. 

For the statistical mechanisms I would use for more of the narrow AI stuff
that is needed and also for situations that you can't come up with something
more concrete/discrete.

John



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RE: [agi] Compressed Cross-Indexed Concepts

2010-08-11 Thread John G. Rose
 -Original Message-
 From: Jim Bromer [mailto:jimbro...@gmail.com]
 
 
 Well, if it was a mathematical structure then we could start developing
 prototypes using familiar mathematical structures.  I think the structure
has
 to involve more ideological relationships than mathematical.  

The ideological would still need be expressed mathematically.

 For instance
 you can apply a idea to your own thinking in a such a way that you are
 capable of (gradually) changing how you think about something.  This means
 that an idea can be a compression of some greater change in your own
 programming.  

Mmm yes or like a key.

 While the idea in this example would be associated with a
 fairly strong notion of meaning, since you cannot accurately understand
the
 full consequences of the change it would be somewhat vague at first.  (It
 could be a very precise idea capable of having strong effect, but the
details of
 those effects would not be known until the change had progressed.)
 

Yes. It would need to have receptors, an affinity something like that, or
somehow enable an efficiency change.

 I think the more important question is how does a general concept be
 interpreted across a range of different kinds of ideas.  Actually this is
not so
 difficult, but what I am getting at is how are sophisticated conceptual
 interrelations integrated and resolved?
 Jim

Depends on the structure. We would want to build it such that this happens
at various levels or the various multidimensional densities. But at the same
time complex state is preserved until proven benefits show themselves.

John





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Re: [agi] Compressed Cross-Indexed Concepts

2010-08-10 Thread Mike Tintner
[from:

Concept-Rich Mathematics Instruction]



Teacher: Very good. Now, look at this drawing

and explain what you see. [Draws.]

Debora: It's a pie with three pieces.

Teacher: Tell us about the pieces.

Debora: Three thirds.

Teachers: What is the difference among the pieces?

Debora: This is the largest third, and here is the smallest . . .

Sound familiar? Have you ever wondered why students often

understand mathematics in a very rudimentary and prototypical

way, why even rich and exciting hands-on types of active learning

do not always result in real learning of new concepts? From

the psycho-educational perspective, these are the critical questions.

In other words, epistemology is valuable to the extent that

it helps us find ways to enable students who come with preconceived

and misconceived ideas to understand a framework of

scientific and mathematical concepts.

Constructivism: A New Perspective

At the dawn of behaviorism, constructivism became the most

dominant epistemology in education. The purest forms of this

philosophy profess that knowledge is not passively received

either through the senses or by way of communication, just as

meaning is not explicitly out there for grabs. Rather, constructivists

generally agree that knowledge is actively built up by a

cognizing human who needs to adapt to what is fit and viable

(von Glasersfeld, 1995). Thus, there is no dispute among constructivists

over the premise that one's knowledge is in a constant

state of flux because humans are subject to an ever-changing

reality (Jaworski, 1994, p. 16).

Although constructivists generally regard understanding as

the outcome of an active process, constructivists still argue

over the nature of the process of knowing. Is knowing simply

a matter of recall? Does learning new concepts reflect additive

or structural cognitive changes? Is the process of knowing

concepts built from the bottom up, or can it be a top-down

process? How does new conceptual knowledge depend on

experience? How does conceptual knowledge relate to procedural

knowledge? And, can teachers mediate conceptual

development?

| Concept-Rich Mathematics Instruction

Is Learning New Concepts Simply a Mechanism

of Memorization and Recall?

Science and mathematics educators have become increasingly

aware that our understanding of conceptual change is at least as

important as the analysis of the concepts themselves. In fact, a

plethora of research has established that concepts are mental

structures of intellectual relationships, not simply a subject matter.

The research indicates that the mental structures of intellectual

relationships that make up mental concepts organize human

experiences and human memory (Bartsch, 1998). Therefore, conceptual

changes represent structural cognitive changes, not simply

additive changes. Based on the research in cognitive psychology,

the attention of research in education has been shifting from the

content (e.g., mathematical concepts) to the mental predicates,

language, and preconcepts. Despite the research, many teachers

continue to approach new concepts as if they were simply addons

to their students' existing knowledge-a subject of memorization

and recall. This practice may well be one of the causes of

misconceptions in mathematics.

Structural Cognitive Change

The notion of structural cognitive change, or schematic change,

was first introduced in the field of psychology (by Bartlett, who

studied memory in the 1930s). It became one of the basic tenets

of constructivism. Researchers in mathematics education picked

up on this term and have been leaning heavily on it since the

1960s, following Skemp (1962), Minsky (1975), and Davis (1984).

The generally accepted idea among researchers in the field, as

stated by Skemp (1986, p. 43), is that in mathematics, to understand

something is to assimilate it into an appropriate schema.

A structural cognitive change is not merely an appendage. It

involves the whole network of interrelated operational and

conceptual schemata. Structural changes are pervasive, central,

and permanent.

The first characteristic of structural change refers to its pervasive

nature. That is, new experiences do not have a limited

effect, but cause the entire cognitive structure to rearrange itself.

Vygotsky (1986, p. 167) argued,

It was shown and proved experimentally that mental development

does not coincide with the development of separate psychological

functions, but rather depends on changing relations between them.

The development of each function, in turn, depends upon the

progress in the development of the interfunctional system.



From: Jim Bromer 
Sent: Monday, August 09, 2010 11:11 PM
To: agi 
Subject: [agi] Compressed Cross-Indexed Concepts


On Mon, Aug 9, 2010 at 4:57 PM, John G. Rose johnr...@polyplexic.com wrote:

   -Original Message-
   From: Jim Bromer [mailto:jimbro...@gmail.com]
  
how would these diverse