Download - Structural Emergence in Partially Ordered Sets is the Key to Intelligence Sergio Pissanetzky
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.