[Maro]

Hi, it depends on what you mean by "first principles".

If you don't have a solid background in math, then that's what you should improve upon (calculus, linear algebra, discrete math, probability theory, information theory). Some of the books you mention do cover this at the beginning, but most people take separate courses on these topics at University, with lots of homework, etc.

Also, the first book on your list is the classic textbook by Norvig, but I don't think it's actually very good. I remember reading it in my college AI course 25 years ago and it was painful back then (anybody remember "wumpus"?). It's a big book that covers too much, it's like printing out a lot of Wikipedia pages. You're better off finding books with smaller scope that focus on something you actually care about / is relevant to the way the field has developed.

[HardikVala]

AIMA is wide-ranging, a lot of which is not "must-have", but "nice-to-have" knowledge. But I do like its breadth-over-depth approach to get a full scope of the AI landscape.