Author: Howard Exner
Date: 00:07:59 01/22/00
How will computers be taught to adjust their playing style when facing weaker opponents? Two examples come to mind, one recent and one older. Recently the game of Fritz (rating: not yet established vs humans at 40/2) vs Hasidovski, A. (rating: 2177) saw Fritz cheerfully swap down into a drawn endgame. The older example that comes to mind is the Deep Thought vs Wchess draw. This I think is not just a Fritz or Deep Thought behavior but common to most or all programs. Chess games often follow quiet paths that make it difficult for a tactically stronger player to utilize that advantage. What can programmers do to compensate for their tactical wizards not knowing the opponent? Could having the program receive input as to the players rating be of use? They might then play a "second or third best move" but keep the position more alive with tactical possibilities. Or will computers always play what they evaluate as the "best move" regardless of opponent's strength?
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