Difference between revisions of "Recursive self-improvement"

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'''Recursive self-improvement''' is an approach to [[Artificial Intelligence]] that allows a system to make adjustments to its own functionality resulting in improved performance. The system could then feedback on itself with each cycle reaching ever higher levels of intelligence resulting in either a Hard or Soft [[AI takeoff]].
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'''Recursive self-improvement''' is an approach to [[Artificial General Intelligence]] that allows a system to make adjustments to its own functionality resulting in improved performance. The system could then feedback on itself with each cycle reaching ever higher levels of intelligence resulting in either a hard or soft [[AI takeoff]].
  
Such a system would be bound by the limitations of it's hardware. The software would be searching for cognitive algorithms that were the most optimal.
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Such a system would be bound by the limitations of its hardware. The software would be searching for cognitive algorithms that were the most optimal.
  
 
==Blog Posts==
 
==Blog Posts==
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*[[Gödel machine]]
 
*[[Gödel machine]]
 
*[[AI takeoff]]
 
*[[AI takeoff]]
*[[Hard takeoff]]
 
*[[Soft takeoff]]
 

Revision as of 10:04, 30 June 2012

Recursive self-improvement is an approach to Artificial General Intelligence that allows a system to make adjustments to its own functionality resulting in improved performance. The system could then feedback on itself with each cycle reaching ever higher levels of intelligence resulting in either a hard or soft AI takeoff.

Such a system would be bound by the limitations of its hardware. The software would be searching for cognitive algorithms that were the most optimal.

Blog Posts

External Links

  • Seed AI description from Singularity Institute.

See Also