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A comparative review of skill assessment: performance, prediction and profiling

Haworth, G., Biswas, T. and Regan, K. (2015) A comparative review of skill assessment: performance, prediction and profiling. In: Plaat, A., van den Herik, J. and Kosters, W. (eds.) Advances in Computer Games 14th International Conference, ACG 2015, Leiden, The Netherlands, July 1-3, 2015, Revised Selected Papers. Springer, pp. 135-146. ISBN 9783319279923

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The assessment of chess players is an increasingly attractive opportunity and an unfortunate necessity. The chess community needs to limit potential reputational damage by inhibiting cheating and unjustified accusations of cheating: there has been a recent rise in both. A number of counter-intuitive discoveries have been made by benchmarking the intrinsic merit of players’ moves: these call for further investigation. Is Capablanca actually, objectively the most accurate World Champion? Has ELO rating inflation not taken place? Stimulated by FIDE/ACP, we revisit the fundamentals of the subject to advance a framework suitable for improved standards of computational experiment and more precise results. Other domains look to chess as the demonstrator of good practice, including the rating of professionals making high-value decisions under pressure, personnel evaluation by Multichoice Assessment and the organization of crowd-sourcing in citizen science projects. The ‘3P’ themes of performance, prediction and profiling pervade all these domains.

Item Type:Book or Report Section
ID Code:39431
Uncontrolled Keywords:Bayesian, cheating, chess, skill, standards

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