Theorems show limitations of machine thought
Gödel’s theorem, and other mathematical theorems like it, reveal essential limitations on the project of making machines that think.
Note: This region covers those arguments that don't derive from Lucas or Penrose but still deal with Gödelian limitations; that is, with the limitations that Gödel’s theorem—and other similar theorems—impose on machine and/or human intelligence.
Immediately related elementsHow this works
-
Artificial Intelligence »Artificial Intelligence
▲
Are thinking computers mathematically possible? [7] »Are thinking computers mathematically possible? [7]
▲
No: computers are limited by Gödel's theorems »No: computers are limited by Gödel's theorems
■
Theorems show limitations of machine thought
●
Gödel's first theorem »Gödel's first theorem
●
Gödel's second theorem »Gödel's second theorem
●
Gödel's and Church's theorems are psychological laws »Gödel's and Church's theorems are psychological laws
●
Machines can't understand language like humans »Machines can't understand language like humans
●
Mathematical thought can't be fully formalised »Mathematical thought can't be fully formalised
●
Mathematics is an essentially creative activity »Mathematics is an essentially creative activity
●
The argument from Church's theorem »The argument from Church's theorem
●
A human can't simultaneously beat all machines »A human can't simultaneously beat all machines
●
Machines may eventually have mathematical intuition »Machines may eventually have mathematical intuition
+Komentarai (0)
+Citavimą (0)
+About