> On 8 May 2019, at 21:55, 'Cosmin Visan' via Everything List 
> <[email protected]> wrote:
> 
> Since evolution is the evolution of consciousness, I wasn't programmed, but 
> consciousness by itself solved new and never before seen problems without 
> anyone telling her what to do.

But machines can do that too. There is an entire field of theoretical 
computational Learning theory. Most result result are negative, in the sense 
that we cannot even compute the gain in learning abilities when we weaken the 
identification criteria (to solve the inference inductive aspect of learning).

A good book, which requires a bit familiarity in Recursion theory, is 

OSHERSON D.N., STOB M.and WEINSTEIN S., 1986, Systems that Learn, MIT press.

(There has been a new edition, with some more authors).

My favorite papers in this field:

CASE J., 1989, The Power of Vacillation, COLT '88, Proceedings of the 1988 
Workshop on Computational Learning Theory, pp. 196-205.

CASE J. & NGO-MANGUELLE S., 1979, Refinements of inductive inference by 
Popperian machines. Tech. Rep., Dept. of Computer Science, State Univ. of 
New-York, Buffalo.

CASE J. & SMITH C., 1983, Comparison of Identification Criteria for Machine 
Inductive Inference. In Theoretical Computer Science 25,.pp 193-220.

CASE J., CHEN K., JAIN S., 1992, Strong Separation of Learning Classes, in 
Jantke (Ed.) 1992.

Bruno



> 
> On Wednesday, 8 May 2019 00:06:39 UTC+3, Brent wrote:
> 
> They are programmed in specific ways for learning...just like you were 
> programmed, by evolution, to learn a language.
> 
> Brent
> 
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