Data Mining in the Natural Resources Management Domain: Discovery of strategies in an RPG
Abstract
This paper presents the mapping of the players strategies in a roleplaying game, in the domain of natural resource management. The data collected (actions of the players in the game) were applied for automatic learning, through data mining. The decision trees generated by the WEKA software, obtained a percentage of correctness between 53 % to 100 %, and through the analysis of the trees, the players’ strategies were discovered. As results, 38 strategies were extracted. The mapped strategies help a better understanding of the game and provided the perception of how the players make their decisions.
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