If you’re interested in self-reference and consciousness, then you will really enjoy Hofstadter’s latest book, “I Am A Strange Loop”, which is all about self-reference and consciousness.
Problem 1: Representation in Design
A fundamental problem for both artificial intelligence and design remains the one of
representation. What is it that a designer knows and how do we get a computer to know
it? Even if we are less concerned with what a human designer knows we are still left with
the question of what needs to be known to design and how to get a computer to know it
and use it.
The early work on representing design knowledge as rules burgeoned into frames and
semantic nets. More recently approaches based on conceptual schemas, conceptual
graphs and distributed representations have been attempted. Whilst these approaches all
add to our ability to represent, there is still a wide gap between what a designer ‘knows’
when designing and what a computer-based design aid ‘knows’.
Deep blue didn’t truly “learn chess”, in fact it cheated. For every play it generated several possible moves which a team of chess experts then chose from. It was more like a team of chess experts playing the champion, nothing more.
If you’re interested in self-reference and consciousness, then you will really enjoy Hofstadter’s latest book, “I Am A Strange Loop”, which is all about self-reference and consciousness.
AI has been solved.
Quid est infra cum numeris Romanis?!
Problem 1: Representation in Design
A fundamental problem for both artificial intelligence and design remains the one of
representation. What is it that a designer knows and how do we get a computer to know
it? Even if we are less concerned with what a human designer knows we are still left with
the question of what needs to be known to design and how to get a computer to know it
and use it.
The early work on representing design knowledge as rules burgeoned into frames and
semantic nets. More recently approaches based on conceptual schemas, conceptual
graphs and distributed representations have been attempted. Whilst these approaches all
add to our ability to represent, there is still a wide gap between what a designer ‘knows’
when designing and what a computer-based design aid ‘knows’.
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http://pctetalk.com/79-Ten_Problems_In_AI.html
Deep blue didn’t truly “learn chess”, in fact it cheated. For every play it generated several possible moves which a team of chess experts then chose from. It was more like a team of chess experts playing the champion, nothing more.
DeepMind’s AlphaZero plays some incredible chess and routinely beats top engines like Stockfish. Nobody could beat AI in chess now.