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Boldly Innovating Innovation via Creative Machine Intelligence

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Innovation Demands Boldness Conference, Arizona State University, 2010.
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© 2010, Imagination Engines, Inc. Boldly Innovating Innovation via Creative Machine Intelligence (A Feigned Retreat from Complexity) Stephen L. Thaler, Ph.D. President & CEO, Imagination Engines, Inc. and Founder, In Its Image, Inc. Innovation Demands Boldness Scottsdale, AZ 30 September, 2010 __________________________________ A radically new form of totally self-organizing, autonomous, contemplative, and creative machine intelligence may possibly be the poster child for all disruptive technologies since it may, by definition, generate all subsequent technologies. The lessons cumulatively learned from the advancement of what might arguably be called the “ultimate idea” should be especially interesting to this workshop since the approaches used have boldly exploited the current retreat from complexity, bypassed conventional review methods, and harnessed the concept’s inherent disruptiveness, both technologically and philosophically, as an extremely effective marketing vehicle. Simple & Elegant A noise-driven dialog between at least two artificial neural networks generates new ideas. Makes Itself Arbitrarily Complex Self-organization inherent to artificial neural networks makes this so. Scalable Machine Intelligence & Consciousness Neural brainstorming session is the basis of human cognition. Is that all there is? Requires utmost boldness to advance, realizing its philosophical implications. Creativity Machine ® Paradigm © 2010, Imagination Engines, Inc. The Ultimate Idea …because it generates all others! hopping synaptic perturbations ideas opinions
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Page 1: Boldly Innovating Innovation via Creative Machine Intelligence

© 2010, Imagination Engines, Inc.

Boldly Innovating Innovation via Creative Machine

Intelligence(A Feigned Retreat from Complexity)

Stephen L. Thaler, Ph.D.President & CEO,

Imagination Engines, Inc.and

Founder,In Its Image, Inc.

Innovation Demands Boldness Scottsdale, AZ ● 30 September, 2010

__________________________________

A radically new form of totally self-organizing, autonomous,contemplative, and creative machine intelligence may possibly bethe poster child for all disruptive technologies since it may, bydefinition, generate all subsequent technologies. The lessonscumulatively learned from the advancement of what might arguablybe called the “ultimate idea” should be especially interesting to thisworkshop since the approaches used have boldly exploited thecurrent retreat from complexity, bypassed conventional reviewmethods, and harnessed the concept’s inherent disruptiveness,both technologically and philosophically, as an extremely effectivemarketing vehicle.

Simple & Elegant

A noise-driven dialog between at least two artificial neural networks generates new ideas.

Makes Itself Arbitrarily Complex

Self-organization inherent to artificial neural networks makes this so.

Scalable Machine Intelligence

& Consciousness

Neural brainstorming session is the basis of human cognition.

Is that all there is?

Requires utmost boldness to advance, realizing its philosophical implications.

Creativity Machine®

Paradigm

© 2010, Imagination Engines, Inc.

The Ultimate Idea…because it generates all others!

hopping synaptic perturbations

ideas

opinions

Page 2: Boldly Innovating Innovation via Creative Machine Intelligence

© 2010, Imagination Engines, Inc.

THE PERCEPTRONraw environmental input patterns

associated output patterns(i.e., opinions)

Page 3: Boldly Innovating Innovation via Creative Machine Intelligence

© 2010, Imagination Engines, Inc.

THE IMAGITRON

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

P mem

, pro

babi

lity

of a

ctiv

atin

g a

mem

ory

mem

orie

smemories + confabulations

optimal memory generation rate

highest constraint satisfaction by confabulations

wi’ – wi i = 1

N

( )2

N

root-mean-square transient synaptic fluctuation

input

output

wi = ith weightN = no. of weights

Page 4: Boldly Innovating Innovation via Creative Machine Intelligence

© 2010, Imagination Engines, Inc.

PERCEPTRON

opinions

IMAGITRON

potential ideas

wei

ght f

luct

uatio

ns

auxiliary sensory inputs• Imagitron quickly absorbs “Zen” of

conceptual space, without human involvement.

• Perceptron quickly learns to form opinions about novel patterns emerging from imagitron, without human involvement.

• Perceptron manages weight fluctuations within imagitron until solution pattern is obtained.

• Can be used to “invent significance” to raw sensory input patterns (i.e., sense making).

• Compound DAGUIs emulate juxtapositional invention, logical deduction/induction, and create theories from analogy modules.

US Patent 5,659,666, “DAGUI” (Creativity Machine Paradigm)

DEVICE FOR THE AUTONOMOUS GENERATIONOF USEFUL INFORMATION (DAGUI)

Page 5: Boldly Innovating Innovation via Creative Machine Intelligence

© 2010, Imagination Engines, Inc.

SELF-TRAINING ARTIFICIAL NEURAL NETWORK OBJECT (STANNO)

• No explicit, human-conceived training algorithm.

• Trainer absorbed into trainee so as to create a monolithic neural net capable of autonomously learning.

• Class wrapper supplied to produce most efficient object-oriented neural net in world.

• 10 million attribute networks enabled for PCs and GPUs, completing training cycles on millisecond time scales.

• At core of extremely advanced automotive machine vision systems.

• Automates DAGUIs by allowing component nets to learn from successes and failures.

wei

ght u

pdat

es

TRAINER

weight update strategy

TRAINEE

error patterns

data patterns

US Patent 5,845,271, “Non-Algorithmically Implemented ANNs…”

Page 6: Boldly Innovating Innovation via Creative Machine Intelligence

© 2010, Imagination Engines, Inc.

DEVICE FOR THE AUTONOMOUS BOOTSTRAPPINGOF USEFUL INFORMATION (DABUI)

STANNO-BASED PERCEPTRON

opinions

STANNO-BASED IMAGITRON

potential ideas

wei

ght f

luct

uatio

ns /

lear

ning

auxiliary sensory inputs• Untrained STANNO-based imagitron

generates potential idea.

• Untrained STANNO-based perceptron generates some figure of merit to it.

• If figure of merit (opinion) is sufficient, reinforcement takes place in all networks.

• If figure of merit (opinion) is insufficient, training is weakened in imagitron, with reinforcement learning occurring in perceptron.

• Bootstrapping is continued until ideas have matured.

• Thereafter, derivative ideas may be generated on demand.

US Patent 7,454,388, “DABUI”

Page 7: Boldly Innovating Innovation via Creative Machine Intelligence

© 2010, Imagination Engines, Inc.

SUPERNETS

US Patent 7,454,388, “DABUI”

• Any number of sensors and actuators may be tied together via an adaptive/creative synthetic brain.

• Myriad STANNO modules may interconnect into “supernets” involving self-forming group membership filters (GMF) and Creativity Machines.

• Various neural correlates to the human brain automatically form.

• Synthetic intelligence shapes itself in response to environmental and corporeal demands.

• We are skipping simulation of human brain and striving for trans-human level intelligence.

Page 8: Boldly Innovating Innovation via Creative Machine Intelligence

© 2010, Imagination Engines, Inc.

CREATIVE ROBOT MASTERS SAND• Main problem is

accumulating mound of sand in front of robot.

• Robot develops its own “squat and leap” strategy via underlying DABUI system.

• Side-to-side motion disperses sand accumulation.

• Behavior developed in less than two minutes, tabula rasa.

Page 9: Boldly Innovating Innovation via Creative Machine Intelligence

© 2010, Imagination Engines, Inc.

CREATIVE ROBOT MASTERS SOIL• Main problem

again is accumulation of soil in front of robot.

• DABUI system develops its own strategy for crawling through potting soil, leveling material with front legs, while thrusting with rear legs.

• Behavior developed in less than a minute!

Page 10: Boldly Innovating Innovation via Creative Machine Intelligence

© 2010, Imagination Engines, Inc.

CREATIVE ROBOT LEARNS TO DREAD ROCKS• Main problem is

non-deterministic behavior of rock beneath robot.

• DABUI system develops a strategy of stabilization within the rock through in-place rocking, so that legs penetrate as deeply as possible.

• Garden rock definitely offers a higher crawling impedance than sand or soil.

Page 11: Boldly Innovating Innovation via Creative Machine Intelligence

© 2010, Imagination Engines, Inc.

CONTEMPLATIVE TERRAIN-SENSING ROBOTS

high impedancerock patch

target

• Vision pathways, navigation field generators, creative motor control, and path optimization modules knit themselves together into a single Supernet.

• Robot contemplates terrain, decides upon path of least resistance, and selects appropriate gaits along way to reach target, avoiding rocky patch.

Page 12: Boldly Innovating Innovation via Creative Machine Intelligence

© 2010, Imagination Engines, Inc.

low impedancesand patch

target

CONTEMPLATIVE TERRAIN-SENSING ROBOTS• When rocky

patch is replaced by sand, DABUI-based control system picks a more direct route toward the target on left.

• Project was reborn as autonomous rendezvous and docking for NASA.

• Later, off-world robots prototyped for NASA, utilizing tabula rasa behavioral development.

Page 13: Boldly Innovating Innovation via Creative Machine Intelligence

© 2010, Imagination Engines, Inc.

STIFF CHALLENGES / BOLD SOLUTIONS

• Retreat from Complexity– Emphasize simplicity and

elegance.• Disruptive Technology

– Identify proper point of entry into industry.

• Academic Adaptation– Treat university researchers as

esteemed knowledge workers.• Timid Incrementalism

– Seek out the more visionary “man in uniform.”

• Poverty of Imagination– Stimulate imagination via potential

applications and the viability of machine consciousness.

cortical imagitron

thalamic perceptron

Page 14: Boldly Innovating Innovation via Creative Machine Intelligence

© 2010, Imagination Engines, Inc.

• “let a thousand flowers bloom”– Allowed IEI in door.– There is vast duplication of

effort.• Grand Challenge / X-Prizes

– Small companies with limited budgets and vanguard technologies can’t afford to drop everything.

– Too many simplifications create overabundant competition.

– Become engineering and not scientific competitions.

• Greatest Curse– This is an unanticipated

technology that does everything.– We are drowning in the

possibilities.• There is hope in collaboration.

“grand challenges”too simplified.

STIFF CHALLENGES / BOLD SOLUTIONS

Page 15: Boldly Innovating Innovation via Creative Machine Intelligence

© 2010, Imagination Engines, Inc.

IEI DECADE (1997-2007) IN A NUTSHELL


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