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CIG
2005
IEEE

Further Evolution of a Self-Learning Chess Program

9 years 26 days ago
Further Evolution of a Self-Learning Chess Program
Previous research on the use of coevolution to improve a baseline chess program demonstrated a performance rating of 2550 against Pocket Fritz 2.0 (PF2). A series of 12 games (6 white, 6 black) was played against PF2 using the best chess program that resulted from 50 generations of variation and selection in self-play. The results yielded 9 wins, 2 losses, and 1 draw for the evolved program. This paper reports on further evolution of the best-evolved chess program, executed through 7462 generations. Results show that the outcome of this subsequent evolution was statistically significantly better than the prior player from 50 generations. A 16-game series against PF2, which plays with the rating of a high-level master, resulted in 13 wins, 0 losses, and 3 draws, yielding a performance rating of approximately 2650.
David B. Fogel, Timothy J. Hays, Sarah L. Hahn, Ja
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where CIG
Authors David B. Fogel, Timothy J. Hays, Sarah L. Hahn, James Quon
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