Player modeling: Towards a common taxonomy

Authors:
M. C. Machado;E. P. C. Fantini;L. Chaimowicz
Affiliations:
Comput. Sci. Dept., Fed. Univ. of Minas Gerais, Belo Horizonte, Brazil;Comput. Sci. Dept., Fed. Univ. of Minas Gerais, Belo Horizonte, Brazil;Comput. Sci. Dept., Fed. Univ. of Minas Gerais, Belo Horizonte, Brazil
Venue:
CGAMES '11 Proceedings of the 2011 16th International Conference on Computer Games
Year:
2011

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Abstract

Artificial Intelligence (AI) is gradually receiving more attention as a fundamental feature to increase the immersion in digital games. Among the several AI approaches, Player Modeling is becoming an important one. The main idea is to try to understand and model the player characteristics and behaviors in order to develop a better AI. This paper presents a survey of the field, discussing the main concepts and proposing a taxonomy to better organize them. We also present several game platforms that can be used by player modeling and AI researchers. We believe that compiling this information can be important to the field, specially to new researchers.