You can successfully make a computer program play at a 2000 FIDE level (say), in that its win/loss/draw results will be consistent with that of a 2000 FIDE human. IPR is a good way of doing this in a quantitative way.
The interesting problem is to make the computer play like a 2000-rated person, not just as well as a 2000-rated person. I'm a big fan of Regan's work, but I don't think IPR on its own is sufficient to make the computer play idiomatic suboptimal moves.
The interesting problem is to make the computer play like a 2000-rated person, not just as well as a 2000-rated person. I'm a big fan of Regan's work, but I don't think IPR on its own is sufficient to make the computer play idiomatic suboptimal moves.