I have read both Popper and Deutsch. Could you explain your comment about Deutsch?
You say human scientists do not face the same problem situation as Solomonoff Induction. But both are trying to create knowledge right? In Solomonoff Induction it is assumed that all knowledge comes to us via sensory organs as data streams and the task of the knowledge creator is to compress that data with the aim of making good predictions. This, it is held, is in some sense what scientists and all people do when they create knowledge and it is what the ideal knowledge creator should do. Critical rationalism rejects the idea that all knowledge comes to us via the senses—that is empiricism—and it rejects the idea that theories are just instruments for making predictions—that is instrumentalism.
You seem to think that predictive success can come without underlying explanations, as though explanations are optional. They are not. We can’t just neglect explanations and think we can get on with the process of building an AI. That we cannot formalize our current knowledge about explanations in a nice piece of mathematics should not be a deterrent to trying to learn more.
I have read both Popper and Deutsch. Could you explain your comment about Deutsch?
You say human scientists do not face the same problem situation as Solomonoff Induction. But both are trying to create knowledge right? In Solomonoff Induction it is assumed that all knowledge comes to us via sensory organs as data streams and the task of the knowledge creator is to compress that data with the aim of making good predictions. This, it is held, is in some sense what scientists and all people do when they create knowledge and it is what the ideal knowledge creator should do. Critical rationalism rejects the idea that all knowledge comes to us via the senses—that is empiricism—and it rejects the idea that theories are just instruments for making predictions—that is instrumentalism.
You seem to think that predictive success can come without underlying explanations, as though explanations are optional. They are not. We can’t just neglect explanations and think we can get on with the process of building an AI. That we cannot formalize our current knowledge about explanations in a nice piece of mathematics should not be a deterrent to trying to learn more.
I wonder what they think of the discussion of the Oracle in The Fabric of Reality, ch1.