DocumentCode
578985
Title
Agents Behavior and Preferences Characterization in Civilization IV
Author
Machado, Marlos C. ; Rocha, Bruno S L ; Chaimowicz, Luiz
Author_Institution
Comput. Sci. Dept., Fed. Univ. of Minas Gerais, Belo Horizonte, Brazil
fYear
2011
fDate
7-9 Nov. 2011
Firstpage
43
Lastpage
52
Abstract
Player Modeling is becoming an important feature in Digital Games. It basically consists in understanding and modeling the player characteristics and behaviors during the game and has been mainly used to improve the games artificial intelligence, making games more adaptable to different players. In this paper, we try to characterize the preference of the players using a novel approach in games: we use mathematical regressions to characterize players behavior, looking for functions that best fit these behaviors. Using AI controlled players in Civilization IV as a testbed, this characterization is performed by extracting game data (score and resources, for example) at the end of each turn and generating functions that characterize the data evolution during the game. We were able to obtain models that distinguish the agents preferences showing the effectiveness of this approach.
Keywords
artificial intelligence; computer games; regression analysis; Civilization IV; agents behavior; artificial intelligence; data evolution; digital games; mathematical regressions; player characteristics; player modeling; Adaptation models; Buildings; Cities and towns; Computational modeling; Games; Gold; Linear regression; Civilization IV; Player Modeling; Preference Modeling; Turn-based Strategy Game; Workload Characterization;
fLanguage
English
Publisher
ieee
Conference_Titel
Games and Digital Entertainment (SBGAMES), 2011 Brazilian Symposium on
Conference_Location
Salvador
ISSN
2159-6654
Print_ISBN
978-1-4673-0797-0
Type
conf
DOI
10.1109/SBGAMES.2011.17
Filename
6363217
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