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Emergent Inference and the Future of NASA Emergent Inference and the Future of NASA

Emergent Inference and the Future of NASA - PowerPoint Presentation

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Emergent Inference and the Future of NASA - PPT Presentation

Sergio Pissanetzky SergioSciControlscom Emergent Inference Any system VISION ROBOT SOFTWARE your mom grab an object computer program eyes cameras sensors translation 100000000 ID: 477456

emergent inference brain analyst inference emergent analyst brain program software sergio programming systems jeopardy car chess pissanetzky sensors structure

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Slide1

Emergent Inference and the Future of NASA

Sergio Pissanetzky

Sergio@SciControls.comSlide2

Emergent Inference

Any system

VISION

ROBOT

SOFTWARE

your mom

grab

anobjectcomputerprogrameyescameras,sensorstranslation100,000,000dots of lightmemorymemoryEI in the brainEI in the computerEI in the computer“hi, mom”next moveclasses and objectsyour momwith a hatnewenvironmentdevelopment

learningSlide3

● NASA needs AIT’s for manned and unmanned

space exploration.

● Autonomous robots can fly on their own or help the

astronauts. ● All our current technolgies are analyst-dependent.

● Extricating the analyst from software requires understanding the analyst.● Understanding the analist means understanding the

brain.

Analyst-independent technologies (AITs)Slide4

The brain

The brain is a computer

● Cognition

● In host-guest systems: guest

● We learn● We remember

● We know● We decide● Do we think?

● Do we reason?The brain is an organ

● Unconscious● In host-guest systems: host● Where is the unconscious?● What does it do?● Hermann von Helmholtz● Sigmund Freud● James Clerk Maxwell● Carl Jung● Douglas Hofstadter● Pink Floyd● David Eagleman● Juan Roederer● Jean Piaget● SergioANDI believe that cognition is a giant memory of behaviors, stored as a hierarchy of structures. Then, an unconscious mechanism that von Helmholtz called UI and I call EI generates new structures, and again stores them as behaviors in our cognition for us to use. Slide5

The Great Unsolved Automation Problems

of Software Engineering (GUAPs)

The automation of:

● Object generation (80’s)

● Refactoring (90’s) ● Integration (2000’s)

● Self-programming (2010’s) ● Parallel Programming ● Image Recognition

● Semantic Web ● Ontologies ● Robots

● ... and counting.All these problems have exact mathematical solutions that can be found by emergent inference. Slide6

chess

brain

drive

Jeopardy

play

chess

play Jeopardy

drive a car BRAINSlide7

SOFTWARE

chess program

quiz program

car driving program

chess

sensors

Jeopardy

sensorscarsensorschesscontrolsJeopardycontrolscarcontrolsEMERGENT INFERENCEproblem of Physicsdisorganizedsoftware

set of

programs

sequential

program

pixels

emergent inference

solution

integrated

program

recognized

image

refactored

+ objects

asignementSlide8

Traditional software development cycle

structure

structure

structure

PROGRAM

BRAIN (human analyst)

emergent

inferenceemergentinferenceemergentinference

• • •

• • •

knowledge

data

subject-matter

engineer

fileSlide9

History of mankind

HUMAN LABOR

TASKS

Source of

mechanical power

heavy lifting

dig trenches

propel a boatSource of Emergent Inference program computers control machines creative tasksDecision making- automating systems SINCE THEADVENT OF HUMANS INDUSTRIAL REVOLUTIONINTELLIGENCEREVOLUTIONThe world cost for non-automation is $60 trillion per year.You are hereSlide10

Plan and Conclusions

● EI should be developed in USA.

● NASA may develop EI.

● Step 1: independent verification.

● Step 2: development.● Step 3: application in robotics.

● All current technolgies are analyst-dependent.● Anayst-independent thecnologies are needed for

space exploration, both manned or unmanned.● EI provides the only way to extricate the analyst.Slide11

Structural Emergence in Partially Ordered Sets is the Key to Intelligence.

S. Pissanetzky. Lecture Notes in Artificial Intelligence, a subseries of Lecture Notes in Computer Science, LNAI 6830, pp. 92-101. Springer-Verlag.

Emergence and self-organization in partially ordered sets. S. Pissanetzky. To appear in Complexity.

● Emergent inference, or how can a program become a self-programming AGI system?

Sergio Pissanetzky. Workshop on Self-programming in AGI systems. AGI-11 conference, Google campus, Mountain View, CA. August 3-6, 2011.

Sergio@SciControls.comwww.SciControls.com2011 publications