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Chinese Computer Chess has been developed for more than ten years, but the
research has been focusing on middle-game search. As of open-
game, it remains a
field for human experts only. Because the data in the database
is finite, the overall
performance can not be improved.
This thesis designs a Computer Chinese Chess Opengame Database. Retrieving
numerous chess records from internet and chess books, the
system adds new records
automatically, and constructs large, complete knowledge database. In order to
calculate the best move, the system evaluates the final status of the game, and
analyzes the quality of all moves systematically by combining
MinMax and statistic.
In addition, the system is provided with query function,
providing access to the
database for researchers and players.
After the knowledge database is combined with the middle-game program, the
system gets obvious vantage in open-game phase. In fact, the
incorporated program
has been awarded the master level. It has been well
demonstrated that the system
improves overall performance of computer chess effectively.
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