Structural Emergence in Partially Ordered Setsis the Key to Intelligence

Sergio PissanetzkyAGI-11 Conference

Overview of my research 2005 - 2011

► Initial motivation: Refactoring.► Scope: Refactoring is universal.► Approach: Computational experiments.► Current motivation: AGI.► Discoveries: ● Partially ordered sets as a knowledge base. ● Emergent inference. ● Emergence in complex dynamical systems. ● Indications of EI in the brain.

Computational experiments

knowledge

senses andafferent nerves

partiallyordered set

brainnaturalstructures

emergentinference

predictedstructures

comparefeedback

feedback

a

b

c

d

e

f

g

h

i

A j

A A k

A A l

A m

A A n

A p

A q

A r

A s

a = x1 * x2b = x3 * x4c = x1 * x5d = x3 * x6e = x7 * x8f = x7 * x2g = x7 * x5h = x1 * x8i = x3 * x9j = x9 + ek = h + il = a + bm = x4 + fn = c + dp = x10 + nq = x6 + gr = x11 + ls = x12 + k

PROGRAM(SCRAMBLED)

CANONICAL MATRIX

The first experiment

d

c

A A n

A p

f

A m

b

a

A A l

A r

e

A j

i

h

A A k

A s

g

A q

CANONICAL MATRIX (STRUCTURED)

d = x3 * x6c = x1 * x5n = c + dp = x10 + nf = x7 * x2m = x4 + fb = x3 * x4a = x1 * x2l = a + br = x11 + le = x7 * x8j = x9 + ei = x3 * x9h = x1 * x8k = h + is = x12 + kg = x7 * x5q = x6 + g

REFACTOREDPROGRAM

The result from the first experiment

This process is emergent inference

Claim

● Any dynamical system has a natural hierarchical structure that can be found by emergent inference.

● Emergent inference explains emergence and self-organization in complex dynamical systems.● Emergent inference in the brain explains intelligence.

Conjectures

The representation of systems by partially ordered sets

Any system• z = f(x, y) Set = {x, y, z} Partial Order = {x < z, y < z}

A computer program.• Parser.

CFS brain model = neural network + resource preservation.• C = connect memory• F = fire behavior• S = shorten intelligence, emotions, creativity• Clustering takes place. Iteration forms clusters of clusters.• Clusters are neural cliques, cortical columns, cortical modules.

EI is “the” key to intelligencevs.

EI is “a” key to intelligence ?

Any “other” system can also be represented as a partially ordered set.

car position sensors

stage sensors,actors

chesssensors

Traditional AI and AGI

car drivingprogram

stage controlprogram

chess playingprogram

carcontrols

stagecontrols

chesscontrols

There is no integration, no refactoring, and no self-programming.

car

The brain

The brain integrates and refactors naturally

stage

chess

senseshumanbrain

drive car

manage stage

play chess

Emergent inference

problemof Physics

raw image

token ring

emergentinference

law of Physics

imagerecognition

OO programclasses, objects

interdependent tasks

parallel program

The EI system integrates and refactors naturally

Do we need a principle for intelligence?

Aeronautical Engineering.- 1800: lift force identified as the principle of flight.

Software engineering.- 1980’s: the automation of objects.- 1990’s: the automation of refactoring.

Artificial intelligence.- 2000’s: the automation of integration.- 2010’s: the automation of self-programming.

Neuroscience.- “the exact way in which the brain enables thought is one of the great mysteries of science.” (Russell-Norvig).- “we are still a long way from understanding how cognitive processes actually work.” (Russell-Norvig) .

Emergent inference is the principle for intelligence

Final message

● EI is the principle for intelligence and AGI.