OPPONENT MODELS PREPROCESSING IN REAL-TIME STRATEGY GAMES

Creating a human-like computer player in real-time strategy games requires huge number of opponent models, these models must be preprocessed to either focus on accuracy or performance according to our needs. In order to preprocess these models accurately, we need to detect their type. Opponent model...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	M. Mourad, M. Aref, M. Abd-Elaziz
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Ain Shams University, Faculty of Computer and Information Science 2016-07-01
Σειρά:	International Journal of Intelligent Computing and Information Sciences
Θέματα:	Opponent modeling adaboost Rough Sets Clustering real-time strategy games ITS
Διαθέσιμο Online:	https://ijicis.journals.ekb.eg/article_19835_fe44d7c9e8bd8619390e6a2489e93f20.pdf
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