Modeling expert players' behavior through data mining

Daniel Acuña, Víctor Parada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Games are a field in which players are implicitly trained and compelled to solve hard problems optimally. By making an appropriate training experiment using a computer game, players can reach expert performance. A computer game tournament that contains Euclidian Traveling Salesman Problem (ETSP) instances is developed and solutions made by expert players are analyzed with human-behavior hypotheses and data mining techniques. A model for the expert players ' behavior that combines apparently different fields is proposed and tested with TSPLIB problems.

Original languageEnglish (US)
Title of host publication25th International Conference of the Chilean Computer Science Society, SCCC 2005
Pages55-61
Number of pages7
DOIs
StatePublished - Dec 1 2005
Externally publishedYes
Event25th International Conference of the Chilean Computer Science Society, SCCC 2005 - Valdivia, Chile
Duration: Nov 7 2005Nov 11 2005

Publication series

NameProceedings - International Conference of the Chilean Computer Science Society, SCCC
Volume2005
ISSN (Print)1522-4902

Other

Other25th International Conference of the Chilean Computer Science Society, SCCC 2005
CountryChile
CityValdivia
Period11/7/0511/11/05

Keywords

  • Cognitive modeling
  • Data mining
  • Heuristics
  • Human-problem solving

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science(all)

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  • Cite this

    Acuña, D., & Parada, V. (2005). Modeling expert players' behavior through data mining. In 25th International Conference of the Chilean Computer Science Society, SCCC 2005 (pp. 55-61). [1587866] (Proceedings - International Conference of the Chilean Computer Science Society, SCCC; Vol. 2005). https://doi.org/10.1109/SCCC.2005.1587866