[salamo]

The issue is that humans and computers don't evaluate board positions in the same way. A computer will analyze every possible move, and then every possible response to each of those moves, etc. Human grandmasters will typically only analyze a handful of candidate moves, and a few possible replies to those moves. This means human search is much narrower and shallower.

If you want a computer that plays like a human, you will probably need to imitate the way that a human thinks about the game. This means for example thinking about the interactions between pieces and the flow of the game rather than stateless evaluations.

[hinkley]

Grandparent was suggesting the hybrid approach where you select a handful of good candidate positions and then explore them (DFS) as far as possible. Which is pretty much how humans work.