@inproceedings{7bbc63f2eccf4ae1baaacc76a63b660e,
title = "Modeling expert players' behavior through data mining",
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.",
keywords = "Cognitive modeling, Data mining, Heuristics, Human-problem solving",
author = "Daniel Acu{\~n}a and V{\'i}ctor Parada",
year = "2005",
doi = "10.1109/SCCC.2005.1587866",
language = "English (US)",
isbn = "0769524915",
series = "Proceedings - International Conference of the Chilean Computer Science Society, SCCC",
pages = "55--61",
booktitle = "25th International Conference of the Chilean Computer Science Society, SCCC 2005",
note = "25th International Conference of the Chilean Computer Science Society, SCCC 2005 ; Conference date: 07-11-2005 Through 11-11-2005",
}