Analyzing player behavior in Pacman using feature-driven decision theoretic predictive modeling

Author

Cowley, Bill ; Charles, Darryl ; Black, Michaela ; Hickey, Ray

Author_Institution

Centre for Knowledge & Innovation Res., Helsinki Sch. of Econ., Helsinki, Finland

fYear

2009

fDate

7-10 Sept. 2009

Firstpage

170

Lastpage

177

Abstract

We describe the results of a modeling methodology that combines the formal choice-system representation of decision theory with a human player-focused description of the behavioral features of game play in Pacman. This predictive player modeler addresses issues raised in previous work and, to produce reliable accuracy. This paper focuses on using player-centric knowledge to reason about player behavior, utilizing a set of features which describe game-play to obtain quantitative data corresponding to qualitative behavioral concepts.

Keywords

behavioural sciences computing; computer games; decision theory; knowledge representation; Pacman; behavioral feature; decision theory; feature-driven decision theoretic predictive modeling; formal choice-system representation; game play; human player-focused description; player behavior analysis; player-centric knowledge; Data mining; Decision making; Decision theory; Economic forecasting; Game theory; Humans; Predictive models; State estimation; Taxonomy; Technological innovation;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Games, 2009. CIG 2009. IEEE Symposium on

Conference_Location

Milano

Print_ISBN

978-1-4244-4814-2

Electronic_ISBN

978-1-4244-4815-9

Type

conf

DOI

10.1109/CIG.2009.5286479

Filename

5286479