teaching CS topic X top down for X={networks, graphics, databases, operating systems...} but what about AI?

 computer science text books have often been written bottom up - start with hardware (here's a CPU, here's a disc, here's a link) and move from physical characteristics, through low level representation of data and processing properties (ISA, memory, errors, coding&modulation, etc) up through the layers of abstraction.

Then along came the pedagogic idea of teaching a couple of CS topics top down. Famous example is Kurose/Ross book on networks, and also Mel Slater and Anthony Steed's book on graphics

(start with web, start with ray tracing etc)

Other books have tried to do this for data bases, operating systems, and (to some extent) PL.

So what would a top-down approach to AI look like? eh? eh, Chat-bard, llamadharma, out with it.