A Generic Approach for Player Modeling Using Event-Trait Mapping Supported by PCA

M. Akif Gunes*, M. Fatih Kavum, Sanem Sariel

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

Özet

Modeling players based on their in-game events is essential for predicting their future behaviors. Player modeling studies mostly target a specific game or genre. This makes it difficult to transfer existing methods from one game to another. In this study, we propose a generic event-trait mapping and unsupervised learning approach for player modeling that extends our earlier modeling method with Principal Component Analysis (PCA). We present a case study of this new approach on a dataset of ten thousand players of World of Warcraft (WoW), a massive multiplayer online role-playing game (MMORPG). The base and the extended approaches are compared with an AutoEncoder (AE) based approach on this dataset. The methods generate clusters (persona) as mixtures of different character traits. The best results are obtained with the extended event-trait mapping approach for player modeling.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıAdvances in Computer Games - 17th International Conference, ACG 2021, Revised Selected Papers
EditörlerCameron Browne, Akihiro Kishimoto, Jonathan Schaeffer
YayınlayanSpringer Science and Business Media Deutschland GmbH
Sayfalar197-207
Sayfa sayısı11
ISBN (Basılı)9783031114878
DOI'lar
Yayın durumuYayınlandı - 2022
Etkinlik17th International Conference on Advances in Computer Games, ACG 2021 - Virtual, Online
Süre: 23 Kas 202125 Kas 2021

Yayın serisi

AdıLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Hacim13262 LNCS
ISSN (Basılı)0302-9743
ISSN (Elektronik)1611-3349

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???17th International Conference on Advances in Computer Games, ACG 2021
ŞehirVirtual, Online
Periyot23/11/2125/11/21

Bibliyografik not

Publisher Copyright:
© 2022, Springer Nature Switzerland AG.

Finansman

A Generic Approach for Player Modeling Using Event-Trait Mapping Supported by PCA

FinansörlerFinansör numarası
Pancreatic Cancer Action

    Parmak izi

    A Generic Approach for Player Modeling Using Event-Trait Mapping Supported by PCA' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.

    Alıntı Yap