On the Effect of Cheating in Chess
This work addresses the issue of cheating in chess for tournament organizers and players by evaluating its impact, though it is incremental as it builds on prior detection-focused research.
The paper tackled the problem of quantifying the performance gain from cheating in chess by using software advice a limited number of times during a game, and developed algorithms tested on a common chess engine to measure this effect.
Cheating in chess, by using advice from powerful software, has become a major problem, reaching the highest levels. As opposed to the large majority of previous work, which concerned {\em detection} of cheating, here we try to evaluate the possible gain in performance, obtained by cheating a limited number of times during a game. Algorithms are developed and tested on a commonly used chess engine (i.e software).\footnote{Needless to say, the goal of this work is not to assist cheaters, but to measure the effectiveness of cheating -- which is crucial as part of the effort to contain and detect it.}