Future of Emergent Inference in NASA

emergent inference and the future of nasa n.w
1 / 11
Embed
Share

Explore the intriguing concepts of emergent inference and analyst-independent technologies in shaping the future of NASA's space exploration. Delve into the intersection of cognition, automation, and software engineering as we envision new possibilities in robotics and artificial intelligence for the space industry.

  • NASA
  • Emergent Inference
  • Robotics
  • Space Exploration
  • Cognition

Uploaded on | 0 Views


Download Presentation

Please find below an Image/Link to download the presentation.

The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.

You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.

The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.

E N D

Presentation Transcript


  1. Emergent Inference and the Future of NASA Sergio Pissanetzky Sergio@SciControls.com

  2. Emergent Inference Any system VISION ROBOT SOFTWARE grab an object cameras, sensors computer program your mom eyes translation 100,000,000 dots of light memory memory EI in the computer EI in the computer classes and objects EI in the brain next move hi, mom your mom with a hat new development environment learning

  3. Analyst-independent technologies (AITs) 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.

  4. The brain AND 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 Sergio I 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.

  5. 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.

  6. BRAIN chess drive Jeopardy brain play chess drive a car play Jeopardy

  7. EMERGENT INFERENCE SOFTWARE pixels Jeopardy sensors sequential program disorganized software chess sensors car sensors set of programs problem of Physics chess program quiz program car driving program emergent inference chess controls car integrated program solution controls refactored + objects asignement Jeopardy controls recognized image

  8. Traditional software development cycle B R A I N ( h u m a n a n a l y s t ) subject-matter engineer emergent inference emergent inference emergent inference knowledge file structure structure structure data PROGRAM

  9. History of mankind HUMAN LABOR TASKS SINCE THE ADVENT OF HUMANS - heavy lifting - dig trenches - propel a boat Source of mechanical power - program computers - control machines - creative tasks INDUSTRIAL REVOLUTION Source of Emergent Inference You are here INTELLIGENCE REVOLUTION Decision making - automating systems The world cost for non-automation is $60 trillion per year.

  10. Plan and Conclusions 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. EI should be developed in USA. NASA may develop EI. Step 1: independent verification. Step 2: development. Step 3: application in robotics.

  11. 2011 publications 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.com www.SciControls.com

Related


More Related Content