Self-programming machines are too rigid
Self-programming machines are too rigid to replicate human induction: they only approximate inductive methods. Humans use inductive methods that can't be formalised. We see this in two ways (see detailed text).
Self programming inductive machines only approximate inductive methods. Humans use inductive methods that can't be formalised. We see this in two ways:

1) Human induction is essentially a creative process that starts with an unspecified set of alternatives. Computers work only with specified alternatives.

2) The concept of probability—which is essential to induction—is flexible and is determined by the use to which it is put. Machines are constrained to use probability in ways that humans determine for them. Machines can't fit the concept of probability to new situations.

C.T.K. Chari (1963).
CONTEXT(Help)
-
Artificial Intelligence Â»Artificial Intelligence
Are thinking computers mathematically possible? [7] Â»Are thinking computers mathematically possible? [7]
No: computers are limited by Gödel's theorems Â»No: computers are limited by Gödel's theorems
Improved machines Â»Improved machines
Inductive machines immune to Gödelization Â»Inductive machines immune to Gödelization
Self programming inductive machines Â»Self programming inductive machines
Self-programming machines are too rigid
+Comments (0)
+Citations (0)
+About