CNS Presentation
April 8, 2005
Tom Malloy

Emergent Hierarchies in Perception
Steps to a Pattern Language

 

CATEGORIZE THE PACKET OF 9 VISUAL PATTERNS INTO EITHER 3 OR 4 CATEGORIES

Modeling CNS as a flow of state Vectors in a Boolean Network

 

A flow of state vectors emerges from the interaction of process:

Basin Length = 32

000000000000000000000000000000000101101111011010001110111101110101
000000000000000000000000000000111011111001110110001111101101011110
000000000000000000000000000000000101111111010011011011111111111001
000000000000000000000000000000111011111110111110001100101101101010
000000000000000000000000000000000101111101010011001110101101110101
000000000000000000000000000000111011101111111111001110101101011110
000000000000000000000000000000000101111001011011011110101111111001
000000000000000000000000000000111011111000111111101110101100101010
000000000000000000000000000000000101111111111011000110111111110101
000000000000000000000000000000111011111000111111001111101101011110
000000000000000000000000000000000101111111011011011011101111111001
000000000000000000000000000000111011111110111110001101101100101010
000000000000000000000000000000000101111101110011001111101111110101
000000000000000000000000000000111011101110111111001011101101001110
000000000000000000000000000000000101111001011010101111101111111001
000000000000000000000000000000111011111010110111000011111101101010
000000000000000000000000000000000101111101011010001110111101110101
000000000000000000000000000000111011101111110111001111101101011110
000000000000000000000000000000000101111001011011011011111111111001
000000000000000000000000000000111011111000111110001100101101101010
000000000000000000000000000000000101111111010011001110101101110101
000000000000000000000000000000111011111001111111001110101101011110
000000000000000000000000000000000101111111011011011110101111111001
000000000000000000000000000000111011111110111111101110101100101010
000000000000000000000000000000000101111101111011000110111111110101
000000000000000000000000000000111011101110111111001111101101011110
000000000000000000000000000000000101111001011011011011101111111001
000000000000000000000000000000111011111000111110001101101100101010
000000000000000000000000000000000101111111110011001111101111110101
000000000000000000000000000000111011111000111111001011101101001110
000000000000000000000000000000000101111111011010101111101111111001
000000000000000000000000000000111011111100110111000011111101101010

A slightly more complex net

The flow of state vectors can be visualized

 

Morphogenesis

Table 1. Camouflage-like striped patterns
The first four columns (a to d) are four basins from the same dynamic system. The fifth column (e) is a basin from a different dynamic system.
a
b
c
d
 
e
&

Emergent, Self-Organized Form

Flash of Mind and Nature

 

Averaging versus Theory-based Pattern integration

Two Attractor Cycle Patterns (Parent 1 and Parent 2)
From same Dynamic System
AVERAGE THEM (Pixel by Pixel)

Compare averaging with a Genetic Procedure:

Take First Half of state vector from Parent 1

Take Second Half of state vector from Parent 2

Splice them

Start up system and examine the attractor cycle that results


Differences in Differences quote

"I have said that what gets from territory to map is transforms of differences and that these (somehow selected) differences are elementary ideas.

"But there are differences between differences. Every effective difference denotes a demarcation, a line of classification, and all classifications are hierarchic. In other words, differences are themselves to be differentiated and classified. In this context I will only touch lightly on the matter of classes of difference, because to carry the matter further would land us in the problems of Principia Mathematica.

"Let me invite you to a psychological experience, if only to demonstrate the frailty of the human computer. First note that differences in texture are different (a) from differences in color. Now note that differences in size are different (b) from differences in shape. Similarly ratios are different (c) from subtractive differences.

"Now let me invite you... to define the differences between "different (a)," "different (b)," and "different (c)" in the above paragraph.

"The mind boggles at the task."

Gregory Bateson, (1972) Steps to an Ecology of Mind, pp. 457-58 (Ballentine edition). The original lecture on which this essay was based was given January 9, 1970.

NOTES 1 to 4 make comments on Bateson's quote

TAO

TAO Tool

Recursive TAO

TAO-1, TAO-2, TAO-3

Link to a practice Table of Recursive TAO

Differences in Differences

Visual instrument quote

The linguist manipulates the syntactic, phonological, and semantic forms and judges and/or asks native speakers to judge whether the consequences are a well-formed sentence in the language, an ambiguous string or any one of an array of numerous other possibilities. The relevant reference point by the very nature of the research is internal to the bearer of the internal grammar – the native speaker himself.

They are sliding doors in the family room

Mary took John's shirt off

This pig is ready to eat

To put the matter in a somewhat different form, suppose that we succeeded in constructing an instrument that purportedly arrived at the same judgments for visual inputs as those possessed by normally sighted people.

How would we know whether the instrument worked?

The answer clearly is that we would accept the instrument as accurate if and only if the responses of the instrument matched those of normally sighted people. In other words, we would calibrate the instrument by using precisely the same set of judgments (intuitions) reported by the people involved that we presently use in the absence of such an instrument.

Thus in fields where the patterning under scrutiny is patterning of the behavior of human beings, the reference point and the source of the judgments will necessarily be the human being (p. 76).

 

How could it be otherwise?

 

Quantify Quantities

Length, Volume

Mass (or "weight" in relation to another body)

Density (lb/cubic foot)

Force, acceleration, velocity, etc.

Time ???

Pattern Languages

Math

f(x) = ax(1 - x)

Music

Dance

Natural Language

"Build thee more stately mansions oh my soul!"

 

Proposal: Quantities cannot describe relational Patterns

Math Models generating Numbers:

Here the numbers are a translation of a pattern language and can have a meaningful relationship to Pattern

==> a series of quantities

==> numbers in terms of wavelengths OR conventions

CASE 1: AVERAGING numbers from Models

One Monet and Two Picasso's

Imagine Quantifying every pixel with a color number and averaging them

Imagine Beethoven's 7th and Shostakovich's 5th

In terms of their average pitch (a number based on a equation describing frequency) from moment to moment

Imagine averaging them

CASE 2: Assigning Quantities to relational patterns WITHOUT an intermediate pattern language (Math, pitch, color numbers, etc.) and then averaging them

Health

Aggressiveness

Prejudice

Intelligence

What can this mean?

What happens to any possible meaning when averaged (across different patterns, i.e., persons)?

 

My Opinion: An epistemological disaster results from assigning quantities to relational patterns and then averaging those numbers.

BUT, things do combine

I'd be astonished if it were by averaging very often in evolution and mind and process

HOW?

EMERGENCE