The best move is the one which induces your opponent to make the biggest mistake. If you are playing (practicing against) a deterministic computer program (e.g., chess) on a "weak" level, one does not need to speculate what the computer's response would be for each of your moves. Just try them out.
Recalculate each computer move at a "strong" level to automatically determine whether a "weak" level move was bad. The end result is learning to set traps, possibly risky traps that would backfire if you didn't know the opponent's response. It might be a good way to study tactics, and to try to salvage a lost position.
Extend this idea from one-ply search to deeper.
(This is in contrast to Nash Equibrium or Minimax, which assumes the opponent will play the optimal move.)
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