Back to Results
First PageMeta Content
Game design / Linux games / Mobile games / Video games with variable translation control / Tomb Raider series / Dynamic game difficulty balancing / Data mining / Machine learning / Supervised learning / Digital media / Software / Application software


Predicting Player Behavior in Tomb Raider: Underworld Tobias Mahlmann, Anders Drachen, Julian Togelius, Alessandro Canossa and Georgios N. Yannakakis Abstract—This paper presents the results of an explorative study on
Add to Reading List

Document Date: 2013-08-26 11:58:49


Open Document

File Size: 478,22 KB

Share Result on Facebook

City

Bled / Yokohama / Chicaco / Tampere / Copenhagen / Toronto / Milan / Miami / Florence / /

Company

MIT Press / Charles River Media Inc / WEKA Data Mining Software / Lawrence Erlbaum Associates / the Star / /

Country

Italy / Slovenia / Thailand / Japan / United States / Canada / Finland / Denmark / /

/

Event

Man-Made Disaster / /

Facility

M. A. Hall / Flush Tunnel / Square Enix Europe Online Development Team / Square Enix Europe Metrics Suite / M. Hall / IT University of Copenhagen / Square Enix Europe Metrics / Tomb Raider / University of Waikato / Square Enix Europe / /

IndustryTerm

machine learning software / important algorithms / improved logging systems / machine learning algorithms / online player appearances / feature subset evaluation algorithms / selected few algorithms / neural gas / regression algorithms / data mining / Online Game Users / supervised learning algorithms / online-game players / server-client network communications / software package / final game product / particular algorithm / instrumentation solution / otherwise reliable algorithm / classification algorithm / systematic search / Online Development Team / real-time user experience / online game players / Online Game / association mining / mobile devices / classification algorithms / greedy search method / mining / substantial computing power / prediction algorithms / Game data mining / compared using various classification algorithms / /

MarketIndex

set 1365 / /

Movie

D. V / /

NaturalFeature

Arctic Sea / /

Organization

MIT / Computational Intelligence / University of Waikato / United Nations / Center for Computer Games Research / University of Copenhagen / /

Person

Anders Nielsen / Kim Krogh / Thomas Hagen / Lara Croft / Alessandro Canossa / D. There / Noah Hughes / M. Steinbach / D. Steinberg / Andrew Liao / Jim Blackhurst / H. Zhou / Julian Togelius / X. Wu / V / F. Arno Knobbe / Underworld Tobias Mahlmann / Tim Ward / J. Ross Quinlan / Thomas Howalt / D. J. Hand / Markus Friedl / Morgan Kaufman / Anders Drachen / R. Houlette / Behavior / /

Position

human game designer / Predicting Player / Dynamic player / player data sets / player / CFS feature subset evaluator / representative / /

ProgrammingLanguage

FL / R / Microsoft SQL Server / /

ProvinceOrState

Illinois / /

Technology

machine learning algorithms / few algorithms / 10 algorithms / supervised learning algorithms / ID3 algorithm / Computer Entertainment Technology / machine learning / classification algorithm / prediction algorithms / mobile devices / REPTree algorithm / feature subset evaluation algorithms / 34 algorithms / particular algorithm / artificial intelligence / selected few algorithms / tested algorithms / regression algorithms / classification algorithms / data mining / Simulation / at least one algorithm / 76 algorithms / /

URL

http /

SocialTag