Rapid chess: A massive-scale experiment

The proliferation of chess servers on the Internet has turned active chess, blitz and lightning, into a vast cognitive phenomenon involving engaged participants. Here we use this large database of human decision making (rapid chess) as a privileged window to understand human cognition. FICS (Free In...

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Autores principales: Fernández Slezak, Diego, Etchemendy, Pablo, Sigman, Mariano
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2010
Materias:
Ciencias Informáticas
Cognición
Toma de decisiones
Ajedrez
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/152631
http://39jaiio.sadio.org.ar/sites/default/files/39jaiio-hpc-04.pdf
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SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-152631
record_format dspace
spelling I19-R120-10915-1526312023-05-09T20:04:21Z http://sedici.unlp.edu.ar/handle/10915/152631 http://39jaiio.sadio.org.ar/sites/default/files/39jaiio-hpc-04.pdf issn:1851-9326 Rapid chess: A massive-scale experiment Fernández Slezak, Diego Etchemendy, Pablo Sigman, Mariano 2010 2010 2023-05-09T13:38:48Z en Ciencias Informáticas Cognición Toma de decisiones Ajedrez The proliferation of chess servers on the Internet has turned active chess, blitz and lightning, into a vast cognitive phenomenon involving engaged participants. Here we use this large database of human decision making (rapid chess) as a privileged window to understand human cognition. FICS (Free Internet Chess Server), http://www.freechess.org/ is a free ICS-compatible server for playing chess games through Internet, with more than 300.000 registered users. Using this available chess server in the Internet, we constructed a massive decision-making database. This data includes thousands of million moves of chess games, with the estimated time of each one of them. In order to evaluate the goodness of moves, we used Crafty (an open-source chess engine) to analyse the score of the move. This process is compute expensive, so we parallelized the analysis on a Beowulf cluster. We studied the structure of the time players take to make a move during a game, and using parallelization we were able to analyse a huge amount of moves obtaining a quantification of the quality of the decision made in millions of instances. This approach allowed us to identify a number of statistical fingerprints that uniquely characterize the emergent structure of the game. Sociedad Argentina de Informática e Investigación Operativa Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 3220-3228
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Cognición
Toma de decisiones
Ajedrez
spellingShingle Ciencias Informáticas
Cognición
Toma de decisiones
Ajedrez
Fernández Slezak, Diego
Etchemendy, Pablo
Sigman, Mariano
Rapid chess: A massive-scale experiment
topic_facet Ciencias Informáticas
Cognición
Toma de decisiones
Ajedrez
description The proliferation of chess servers on the Internet has turned active chess, blitz and lightning, into a vast cognitive phenomenon involving engaged participants. Here we use this large database of human decision making (rapid chess) as a privileged window to understand human cognition. FICS (Free Internet Chess Server), http://www.freechess.org/ is a free ICS-compatible server for playing chess games through Internet, with more than 300.000 registered users. Using this available chess server in the Internet, we constructed a massive decision-making database. This data includes thousands of million moves of chess games, with the estimated time of each one of them. In order to evaluate the goodness of moves, we used Crafty (an open-source chess engine) to analyse the score of the move. This process is compute expensive, so we parallelized the analysis on a Beowulf cluster. We studied the structure of the time players take to make a move during a game, and using parallelization we were able to analyse a huge amount of moves obtaining a quantification of the quality of the decision made in millions of instances. This approach allowed us to identify a number of statistical fingerprints that uniquely characterize the emergent structure of the game.
format Objeto de conferencia
Objeto de conferencia
author Fernández Slezak, Diego
Etchemendy, Pablo
Sigman, Mariano
author_facet Fernández Slezak, Diego
Etchemendy, Pablo
Sigman, Mariano
author_sort Fernández Slezak, Diego
title Rapid chess: A massive-scale experiment
title_short Rapid chess: A massive-scale experiment
title_full Rapid chess: A massive-scale experiment
title_fullStr Rapid chess: A massive-scale experiment
title_full_unstemmed Rapid chess: A massive-scale experiment
title_sort rapid chess: a massive-scale experiment
publishDate 2010
url http://sedici.unlp.edu.ar/handle/10915/152631
http://39jaiio.sadio.org.ar/sites/default/files/39jaiio-hpc-04.pdf
work_keys_str_mv AT fernandezslezakdiego rapidchessamassivescaleexperiment
AT etchemendypablo rapidchessamassivescaleexperiment
AT sigmanmariano rapidchessamassivescaleexperiment
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