3. What is AI All About?

4. What is AI All About?

5. What is AI All About?

6. Artificial General Intelligence
Narrow AI
Each program carries out specific tasks that humans consider intelligent
Limited capability for adaptation to novel contexts
AGI
A single program capable of intelligent behaviors with a variety roughly equal to, or greater than, the variety a typical human demonstrates
Ability to generalize its knowledge so as to adapt to novel contexts

7. The Time is Ripe for AGI

8. Multiple Approaches to AGI

9. What is AGI? g-factor from human psychology?
Ability to achieve complex goals in complex environments?
Legg and Hutter’s formal definition?
Ability to adapt to the environment using limited resources?
Ability to achieve goals in environments, assessed by weighting (goal, environment) pairs according to some distribution that is neither too broad nor too narrow?

10. Embodied, Social AGI
Ability to achieve goals in environments, assessed by weighting each (goal, environment) pair according to the ease with which an embodied social agent could communicate it to its peers, using a combination of methods such as
Language
Dramatic depiction
Imitation
Indication

11. Will a Deep, Rigorous, General AGI Theory Ever Exist?
Can there be a general theory of AGI?
A general theory of computationally feasible AGI?
A general theory of computationally feasible, embodied, social AGI?

12. Possible General Principles of AGI
Occam’s Razor
Cognitive Synergy ??

14. What is the “end goal” of AGI R&D?
Turing test?
Artificial, superhuman scientist/engineer?
Putting us all out of work?
Maybe there isn’t one!

15. Challenges in Moving the Field Ahead
Temptations of Narrow AI research
Absence of a general theory of feasible, relevant general intelligence
Difficulty of measuring incremental progress
Lack of easily usable, common environments/tasks for comparing different approaches
Lack of a collectively agreed-upon “AGI Roadmap”
Paucity of appropriate publication venues
Difficulty of comparing detailed approaches, sharing insights
Public fear of AGI, spurred in part by dystopian fiction
Lack of money!

16. AGI-09 Keynote: Juergen Schmidhuber
Presentations + themed discussions:
Evaluation/metrics
Robotics/embodiment
Cognitive architectures
Learning
Reasoning
Language
Self-awareness
Expert elicitation
Sat night: demo/poster session
Sun: lunch biz meeting
Sun: optional conf dinner at Jaleo
Monday: Future of AI workshop
Kurzweil Best Paper Prize