Question

What is artifical intelligence insights current affairs?

Answer 1

In the different combinatorial methods described in the previous chapters
the main engine to the generalisation process is something like:
‘If nothing tells me not to generalise, do it.’
For example, in the case where we are learning from an informant, the
negative data is providing us with the reason for which one should not
generalise (which is usually performed by merging two states). In the case
of learning from text, the limitations exercised by the extra bias on the
grammar class are what avoids over-generalisation.
But as a principle, the ‘do it if you are allowed’ idea is surely not the
soundest. Since identification in the limit is achieved through elimination
of alternatives, and an alternative can only be eliminated if there are facts
that prohibit it, the principle is mathematically sound but defies common
sense.