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2015 | OriginalPaper | Chapter

A Comparative Review of Skill Assessment: Performance, Prediction and Profiling

Authors : Guy Haworth, Tamal Biswas, Ken Regan

Published in: Advances in Computer Games

Publisher: Springer International Publishing

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Abstract

The assessment of chess players is both 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 games and domains look to chess as 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.

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Footnotes
1
This probably increased the apparent competence ac of RP e : draws exhibited higher ac.
 
2
Over the last four years, the winners of the TCEC events [24] have been Houdini 1.5a, Houdini 3, Komodo 1142, Stockfish 170514 and Komodo 1333.
 
3
UCI = Universal Chess Interface [19].
 
4
An example of chess-position in XML format is given in [2].
 
5
The notation here is: 〈 means ‘worse than’ and 〈〈 means ‘much worse than’.
 
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Metadata
Title
A Comparative Review of Skill Assessment: Performance, Prediction and Profiling
Authors
Guy Haworth
Tamal Biswas
Ken Regan
Copyright Year
2015
DOI
https://doi.org/10.1007/978-3-319-27992-3_13

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